Generative AI in Real-World Workplaces
Sonia Jaffe, Neha Parikh Shah, Jenna Butler, Alex Farach, Alexia Cambon, Brent Hecht, Michael Schwarz, Jaime Teevan
MSR-TR-2024-29 | July 2024
Published by Microsoft
Jaime Teevan
Chief Scientist & Technical Fellow
Publications
Publications by Year
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Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan
March 2024
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Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Published by Microsoft
Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity
Alexia Cambon, Brent Hecht, Benjamin Edelman, Donald Ngwe, Sonia Jaffe, Amy Heger, Mihaela Vorvoreanu, Sida Peng, Jake Hofman, Alex Farach, Margarita Bermejo-Cano, Eric Knudsen, James Bono, Hardik Sanghavi, Sofia Spatharioti, David Rothschild, Daniel G. Goldstein, Eirini Kalliamvakou, Peter Cihon, Mert Demirer, Michael Schwarz, Jaime Teevan
MSR-TR-2023-43 | December 2023
Published by Microsoft
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Learning Causal Effects on Hypergraphs
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht, Jaime Teevan
2022 SIGKDD Conference on Knowledge Discovery and Data Mining | August 2022
KDD Best Paper Award 2022
Keynote: Searching for a New and Better Future of Work
2022 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2022
Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
Published by Microsoft
Publication Video Video Video Video Video Video Project Project Project Project
“I Didn’t Know I Looked Angry”: Characterizing Observed Emotion and Reported Affect at Work
Harmanpreet Kaur, Daniel McDuff, Alex C. Williams, Jaime Teevan, Shamsi Iqbal
CHI 2022 | April 2022
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The effects of remote work on collaboration among information workers
Longqi Yang, David Holtz, Sonia Jaffe, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Parikh Shah, Kevin Sherman, Brent Hecht, Jaime Teevan
Nature Human Behaviour | September 2021
Learning to Represent Human Motives for Goal-directed Web Browsing
Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahar Sarrafzadeh, Brent Hecht, Jaime Teevan
15th ACM Conference on Recommender Systems | August 2021
Large Scale Analysis of Multitasking Behavior During Remote Meetings
Hancheng Cao, Chia-Jung Lee, Shamsi Iqbal, Mary Czerwinski, Priscilla Wong, Sean Rintel, Brent Hecht, Jaime Teevan, Longqi Yang
CHI 2021 | May 2021
Honorable Mention
Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources
Amanda Swearngin, Shamsi Iqbal, Victor Poznanski, Mark Encarnación, Paul Bennett, Jaime Teevan
ACM CHI 2021 | May 2021
Honorable Mention
The New Future of Work: Research from Microsoft into the Pandemic’s Impact on Work Practices
Jaime Teevan, Brent Hecht, Sonia Jaffe, Nancy Baym, Rachel Bergmann, Matt Brodsky, Bill Buxton, Jenna Butler, Adam Coleman, Mary Czerwinski, Brian Houck, Ginger Hudson, Shamsi Iqbal, Chandra Maddila, Kate Nowak, Emily Peloquin, Ricardo Reyna Fernandez, Sean Rintel, Abigail Sellen, Tiffany Smith, Margaret-Anne Storey, Siddharth Suri, Hana Wolf, Longqi Yang
MSR-TR-2021-1 | January 2021
Published by Microsoft
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Remote Work and Well-being
Shamsi Iqbal, Jina Suh, Mary Czerwinski, Gloria Mark, Jaime Teevan
August 2020
How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19.
Longqi Yang, Sonia Jaffe, David Holtz, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Shah, Kevin Sherman, Chia-Jung Lee, Brent Hecht, Jaime Teevan
July 2020
Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work
Harmanpreet Kaur, Alex C. Williams, Daniel McDuff, Mary Czerwinski, Jaime Teevan, Shamsi Iqbal
ACM Conference on Human Factors in Computing Systems (CHI) | April 2020
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Mercury: Empowering Programmers’ Mobile Work Practices with Microproductivity
Alex Williams, Harmanpreet Kaur, Shamsi Iqbal, Ryen W. White, Jaime Teevan, Adam Fourney
UIST 2019 | October 2019
Casual Microtasking: Embedding Microtasks in Facebook
Nathan Hahn, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
An Exploration of Speech-Based Productivity Support in the Car
Nikolas Martelaro, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
Guidelines for Human-AI Interaction
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz
CHI 2019 | May 2019
CHI 2019 Honorable Mention Award
Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence
Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
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Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning
Harmanpreet Kaur, Alex Williams, Anne Loomis Thompson, Walter Lasecki, Shamsi Iqbal, Jaime Teevan
Computer-Supported Cooperative Work (CSCW) | November 2018
Multitasking with Play Write, a Mobile Microproductivity Tool
Shamsi Iqbal, Jaime Teevan, Dan Liebling, Anne Loomis Thompson
UIST 2018 | October 2018
Supporting Workplace Detachment and Reattachment with Conversational Intelligence
Alex Williams, Harmanpreet Kaur, Gloria Mark, Anne Loomis Thompson, Shamsi Iqbal, Jaime Teevan
2018 ACM Conference on Human Factors in Computing Systems (CHI '18) | April 2018
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Meeting Scheduling Assistance with Structured Workflows
Justin Cranshaw, Emad Elwany, Todd Newman, Rafal Kocielnik, Bowen Yu, Sandeep Soni, Jaime Teevan, Andres Monroy-Hernandez
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2017), Denver, CO | May 2017
Communicating Context to the Crowd for Complex Writing Tasks
Niloufar Salehi, Jaime Teevan, Shamsi Iqbal, Ece Kamar
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work (CSCW 2017), Portland, OR | February 2017
Honorable Mention
Design and In-Situ Evaluation of a Mixed-Initiative Approach to Information Organization
Mona Haraty, Zhongyuan Wang, Helen Wang, Shamsi Iqbal, Jaime Teevan
Journal of the Association for Information Science and Technology (JASIST) | January 2017
Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop
Justin Cranshaw, Emad Elwany, Todd Newman, Rafal Kocielnik, Bowen Yu, Sandeep Soni, Jaime Teevan, Andrés Monroy-Hernández
ACM CHI Conference on Human Factors in Computing Systems | January 2017
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The Future of Microwork
XRDS | November 2016, Vol 23(2)
Characterizing Cross-Domain Search Behavior
Rishabh Mehrotra, Paul N. Bennett, Susan Dumais, Jaime Teevan
Proceedings of the Second Workshop on Heterogeneous Information Access at SIGIR 2016 (HIA'16) | July 2016
Explicit In Situ User Feedback for Web Search Results
Jin Young Kim, Jaime Teevan, Nick Craswell
Proceedings of the 39th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, Italy | June 2016
Chain Reactions: The Impact of Order on Microtask Chains
Carrie J. Cai, Shamsi Iqbal, Jaime Teevan
CHI 2016 | May 2016
Productivity Decomposed: Getting Big Things Done with Little Microtasks
Jaime Teevan, Jeffrey P. Bigham, Shamsi Iqbal, Michael S. Bernstein, Carrie J. Cai, Elizabeth M. Gerber
A workshop at the ACM Conference on Human Factors in Computing Systems (CHI 2016), San Jose, CA | May 2016
Selfsourced Writing
Productivity Decomposed: Getting Big Things Done with Little Microtasks, a workshop at CHI 2016 | May 2016
Supporting Collaborative Writing with Microtasks
Jaime Teevan, Shamsi Iqbal, Curtis von Veh
CHI 2016 | May 2016
The Web Is Flat: The Inflation of Uncommon Experiences Online
Danae Metaxa-Kakavouli, Gili Rusak, Jaime Teevan, Michael S. Bernstein
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2016) San Jose, CA, May 2016 (Late Breaking Work) | May 2016
Best Paper
WearWrite: Crowd-Assisted Writing from Smartwatches
Michael Nebeling, Alexandra To, Anhong Guo, Adrian A. de Freitas, Jaime Teevan, Steven P. Dow, Jeffrey P. Bigham
CHI 2016 | May 2016
An Introduction to Technological Support for Writing
Nick Greer, Jaime Teevan, Shamsi Iqbal
MSR-TR-2016-1 | April 2016
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WearWrite: Orchestrating the Crowd to Complete Complex Tasks from Wearables
Michael Nebeling, Anhong Guo, Alexandra To, Steven Dow, Jaime Teevan, Jeffrey Bigham
Proceedings of the 28th ACM User Interface Software and Technology Symposium (UIST 2015), Charlotte, NC | November 2015
OMG UR Funny! Computer-Aided Humor with an Application to Chat
Miaomiao Wen, Nancy Baym, Omer Tamuz, Jaime Teevan, Susan Dumais, Adam Tauman Kalai
ICCC 2015 | October 2015
Facebook Use and Disordered Eating in College-Aged Women
Morgan Walker, Laura Thornton, Munmun De Choudhury, Jaime Teevan, Cynthia M. Bulik, Cheri A. Levinson, Stephanie Zerwas
Journal of Adolescent Health (JAH) | August 2015
Crowdsourcing in the Field: A Case Study Using Local Crowds for Event Reporting
Elena Agapie, Jaime Teevan, Andrés Monroy-Hernández
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP-15) | August 2015
Best Paper Award
Matching and Grokking: Approaches to Personalized Crowdsourcing
Adam Tauman Kalai, Susan Dumais, Jaime Teevan
International Joint Conferences on Artificial Intelligence (IJCAI 2015) | July 2015
Best Papers From Sister Conferences Track
Large Scale Log Analysis of Individuals’ Domain Preferences in Web Search
Sarah K. Tyler, Jaime Teevan, Peter Bailey, Sebastian de la Chica, Nikhil Dandekar
MSR-TR-2015-048 | June 2015
WearWrite: Orchestrating the Crowd to Complete Complex Tasks from Wearables (We Wrote This Paper on a Watch)
Michael Nebeling, Anhong Guo, Kyle Murray, Annika Tostengard, Angelos Giannopoulos, Martin Mihajlov, Steven Dow, Jaime Teevan, Jeffrey P. Bigham
June 2015
The Activity Platform
Helen Wang, Alexander Moshchuk, Michael Gamon, Mona Haraty, Shamsi Iqbal, Eli T. Brown, Ashish Kapoor, Chris Meek, Eric Chen, Yuan Tian, Jaime Teevan, Mary Czerwinski, Susan Dumais
USENIX 15th Workshop on Hot Topics in Operating Systems (HotOS XV) | May 2015
“For Telling” the Present: Using the Delphi Method to Understand Personal Information Management Practices
William Jones, Robert Capra, Anne Diekema, Jaime Teevan, Manuel Pérez-Quiñones, Jesse David Dinneen, Bradley Hemminger
CHI 2015 | April 2015
Break It Down: A Comparison of Macro- and Microtasks
Justin Cheng, Jaime Teevan, Shamsi Iqbal, Michael S. Bernstein
ACM Conference on Human Factors for Computing Systems (CHI) | April 2015
Measuring Crowdsourcing Effort with Error-Time Curves
Justin Cheng, Jaime Teevan, Michael S. Bernstein
CHI 2015 | April 2015
Best Paper Honorable Mention
Blue Ribbon Panel Consensus Report on Better Practices of Personal Information Management
March 2015
The Cost of Asking Crowd Workers to Behave Maliciously
Walter. S. Lasecki, Jaime Teevan, Ece Kamar
In Proceedings of the Workshop on Human-Agent Interaction Design and Models (HAIDM 2015) at AAMAS 2015 | February 2015
Preserving Privacy in Crowd-Powered Systems
Walter S. Lasecki, Mitchell Gordon, Jaime Teevan, Ece Kamar, Jeff P. Bigham
In Proceedings of the Workshop on Human-Agent Interaction Design and Models (HAIDM 2015) at AAMAS 2015 | January 2015
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A Crowd of Your Own: Crowdsourcing for On-Demand Personalization
Peter Organisciak, Jaime Teevan, Susan Dumais, Robert C. Miller, Adam Tauman Kalai
HCOMP 2014 | November 2014
Notable Paper
Viewpoint: Slow Search
Jaime Teevan, Kevyn Collins-Thompson, Ryen W. White, Susan Dumais
Communications of the ACM | August 2014, Vol 57(8)
Slow Search
Jaime Teevan, Kevyn Collins-Thompson, Ryen W. White, Susan Dumais
Communications of the ACM | August 2014, Vol 57: pp. 36-38
Characterizing Multi-Click Search Behavior and the Risks and Opportunities of Changing Results during Use
Chia-Jung Lee, Jaime Teevan, Sebastian de la Chica
SIGIR 2014 | July 2014
CiteSight: Supporting Contextual Citation Recommendation Using Differential Search
Avishay Livne, Vivek Gokuladas, Jaime Teevan, Susan Dumais, Eytan Adar
SIGIR 2014 | July 2014
Mobile Support for Face-to-Face Social Interaction
Jaime Teevan, Meredith Ringel Morris, Scott Saponas
2014 Human-Computer Interaction Consortium Workshop (HCIC) | June 2014
Selfsourcing Personal Tasks
Dan Liebling, Jaime Teevan, Walter S. Lasecki
Proceedings of CHI 2014 | April 2014
Selfsourcing Personal Tasks
Jaime Teevan, Dan Liebling, Walter S. Lasecki
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2014) Toronto, Canada | April 2014
Understanding User Behavior Through Log Data and Analysis
Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, Jaime Teevan
Ways of Knowing in HCI
Published by Springer | March 2014
ISBN: 978-1-4939-0378-8
Supporting Interpersonal Interaction during Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris
IEEE Computer | March 2014, Vol 47(3): pp. 54-57
Information Extraction and Manipulation Threats in Crowd-Powered Systems
Walter S. Lasecki, Jaime Teevan, Ece Kamar
CSCW 2014 | February 2014
Lessons from the Journey: A Query Log Analysis of Within-Session Learning
Carsten Eickhoff, Jaime Teevan, Ryen W. White, Susan Dumais
WSDM 2014 | February 2014
To Search or to Ask: The Routing of Information Needs Between Traditional Search Engines and Social Networks
Anne Oeldorf-Hirsch, Brent Hecht, Meredith Ringel Morris, Jaime Teevan, Darren Gergle
Proceedings of CSCW 2014 | February 2014
Using Physical Signaling to Support Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris, Shiri Azenkot
Extended Abstracts of CSCW 2014 | February 2014
Family Friendly Conferences
ACM-W Connections | January 2014
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Personalized Human Computation
Peter Organisciak, Jaime Teevan, Susan Dumais, Robert C. Miller, Adam Tauman Kalai
Proceedings of HComp 2013 | November 2013
Crowdsourcing for Robustness in Web Search
Yubin Kim, Kevyn Collins-Thompson, Jaime Teevan
Proceedings of NIST Special Publication: The Twenty-Second Text REtrieval Conference (TREC 2013), Gaithersburg, Maryland | November 2013
Slow Search: Information Retrieval without Time Constraints
Jaime Teevan, Kevyn Collins-Thompson, Ryen W. White, Susan Dumais, Yubin Kim
Proceedings of HCIR 2013 | October 2013
Understanding How People Interact with Web Search Results that Change in Real-Time Using Implicit Feedback
Jin Young Kim, Mark Cramer, Jaime Teevan, Dmitry Lagun
CIKM 2013 | October 2013
Smartphone Use Does Not Have to Be Rude: Making Phones a Collaborative Presence in Meetings
Matthias Böhmer, Scott Saponas, Jaime Teevan
August 2013
A Crowd-Powered Socially Embedded Search Engine
Jin-Woo Jeong, Meredith Ringel Morris, Jaime Teevan, Dan Liebling
Proceedings of ICWSM 2013 | July 2013
Behavioral Dynamics on the Web: Learning, Modeling, and Prediction
Kira Radinsky, Krysta M. Svore, Susan Dumais, Milad Shokouhi, Jaime Teevan, Alex Bocharov, Eric Horvitz
ACM Transactions on Information Systems | July 2013, Vol 31(3)
Notable Computing Books and Articles of 2013
Towards Supporting Search over Trending Events with Social Media
Sanjay Kairam, Meredith Ringel Morris, Jaime Teevan, Dan Liebling, Susan Dumais
Proceedings of ICWSM 2013 | July 2013
Best Paper Honorable Mention
“Does Anyone Know How to Get Good Answers?” How Social Network Questions Shape Replies
Jaime Teevan, Meredith Ringel Morris, Katrina Panovich
MSR-TR-2013-62 | June 2013
Benevolent Deception in Human Computer Interaction
Eytan Adar, Desney Tan, Jaime Teevan
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2013) | April 2013
Clarifications and Question Specificity in Synchronous Social Q&A
Makoto Kato, Ryen W. White, Jaime Teevan, Susan Dumais
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2013) | April 2013
Predicting Citation Counts Using Text and Graph Mining
Avishay Livne, Eytan Adar, Jaime Teevan, Susan Dumais
iConference 2013, Workshop on Computational Scientometrics: Theory and Application | February 2013
Understanding How the Projection of Availability State Impacts the Reception of Incoming Communication
Jaime Teevan, Alexander Hehmeyer
Proceedings of the 2013 ACM Conference on Computer Supported Cooperative Work (CSCW '13) | February 2013
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Displaying Mobile Feedback During a Presentation
Jaime Teevan, Dan Liebling, Ann Paradiso, Carlos Garcia Jurado Suarez, Curtis von Veh, Darren Gehring
Proc. MobileHCI 2012 | September 2012
Creating Temporally Dynamic Web Search Snippets
Krysta M. Svore, Jaime Teevan, Susan Dumais, Anagha Kulkarni
Proceedings of SIGIR'12, Portland, Oregon, USA | August 2012
SearchBuddies: Bringing Search Engines into the Conversation
Brent Hecht, Jaime Teevan, Meredith Ringel Morris, Dan Liebling
Proc. ICWSM 2012 | June 2012
Exploring the Complementary Roles of Social Networks and Search Engines
Meredith Ringel Morris, Jaime Teevan
2012 Human-Computer Interaction Consortium Workshop (HCIC), Asilomar, CA | June 2012
Direct Answers for Search Queries in the Long Tail
Michael S. Bernstein, Jaime Teevan, Susan Dumais, Dan Liebling, Eric Horvitz
Proc. CHI 2012 | May 2012
Best Paper, Honorable Mention
Trajectory-Aware Mobile Search
John Krumm, Jaime Teevan, Amy Karlson, A.J. Brush
CHI 2012 | May 2012
Modeling and Predicting Behavioral Dynamics on the Web
Kira Radinsky, Krysta M. Svore, Susan Dumais, Jaime Teevan, Alex Bocharov, Eric Horvitz
Proceedings of the 21st International World Wide Web (WWW) Conference | April 2012
To appear.
The Search Dashboard: How Reflection and Comparison Impact Search Behavior
Scott Bateman, Jaime Teevan, Ryen W. White
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '12). | January 2012
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Understanding the Importance of Location, Time, and People in Mobile Local Search Behavior
Jaime Teevan, Amy Karlson, Shahriyar Amini, A.J. Brush, John Krumm
Mobile HCI 2011 | September 2011
Web Retrieval, Ranking and Personalization
Jaime Teevan, Susan Dumais, Ryen W. White
Interactive Information Seeking and Retrieval
July 2011
Modeling and Analyses of Multi-Session Search Tasks
Alexander Kotov, Paul Bennett, Ryen W. White, Susan Dumais, Jaime Teevan
SIGIR'11, Beijing, China | July 2011
Modeling and Analysis of Cross-Session Search Tasks
Alexander Kotov, Paul Bennett, Ryen W. White, Susan Dumais, Jaime Teevan
Proceedings of SIGIR 2011 | July 2011
Design and Analysis of Large Scale Log Studies
Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, Jaime Teevan
CHI 2011 (Course) | May 2011
Understanding and Predicting Personal Navigation
Jaime Teevan, Dan Liebling, Gayathri Ravichandran Geetha
Proc. WSDM 2011 | February 2011
Understanding Temporal Query Dynamics
Anagha Kulkarni, Jaime Teevan, Krysta M. Svore, Susan Dumais
Web Search and Data Mining (WSDM) 2011 | February 2011
#TwitterSearch: A Comparison of Microblog Search and Web Search
Jaime Teevan, Daniel Ramage, Meredith Ringel Morris
Proceedings of WSDM 2011 | January 2011
Addressing Information Needs Directly in the Search Result Page
Lydia B. Chilton, Jaime Teevan
Proceedings of WWW 2011 | January 2011
Culture Matters: A Survey Study of Social Q&A Behavior
Jiang Yang, Meredith Ringel Morris, Jaime Teevan, Lada A. Adamic, Mark S. Ackerman
Proceedings of ICWSM 2011 | January 2011
Factors Affecting Response Quantity, Quality and Speed in Questions Asked via Online Social Networks
Jaime Teevan, Meredith Ringel Morris, Katrina Panovich
Proceedings of ICWSM 2011 | January 2011
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A Longitudinal Study of How Highlighting Web Content Change Affects People’s Web Interactions
Jaime Teevan, Susan Dumais, Dan Liebling
Proc. 2010 ACM Conf. on Human Factors in Computing Systems (CHI 2010) | April 2010
Potential for Personalization
Jaime Teevan, Susan Dumais, Eric Horvitz
ACM Transactions on Computer-Human Interaction | March 2010, Vol 4: pp. 31
Using the Crowd to Improve Search Result Ranking and the Search Experience
Yubin Kim, Kevyn Collins-Thompson, Jaime Teevan
ACM Transactions on Intelligent Systems and Technology (TIST) | March 2010
Design of Large Scale Log Analysis Studies
Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, Jaime Teevan
February 2010
HCIC 2010
A Comparison of Information Seeking Using Search Engines and Social Networks
Meredith Ringel Morris, Jaime Teevan, Katrina Panovich
Proceedings of ICWSM 2010 | January 2010
Collaborative Web Search: Who, What, Where, When, and Why?
Meredith Ringel Morris, Jaime Teevan
Published by Morgan & Claypool | January 2010
ISBN: 1608451216
Large Scale Query Log Analysis of Re-Finding
Sarah K. Tyler, Jaime Teevan
Proceedings of WSDM 2010 | January 2010
What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior
Meredith Ringel Morris, Jaime Teevan, Katrina Panovich
Proceedings of CHI 2010 | January 2010
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Discovery Is Never by Chance: Designing for (Un)Serendipity
Paul André, m.c. schraefel, Jaime Teevan, Susan Dumais
Proc. Creativity & Cognition 2009 | October 2009
Changing How People View Changes on the Web
Jaime Teevan, Susan Dumais, Dan Liebling, Richard Hughes
Proceedings UIST '09, Victoria, BC, Canada | October 2009
From X-Rays to Silly Putty via Uranus: Serendipity and its Role in Web Search
Paul Andre, Jaime Teevan, Susan Dumais
Proceedings of CHI 2009 | April 2009
Resonance on the Web: Web Dynamics and Revisitation Patterns
Eytan Adar, Jaime Teevan, Susan Dumais
Proceedings of CHI 2009 | April 2009
Visual Snippets: Summarizing Web Pages for Search and Revisitation
Jaime Teevan, Ed Cutrell, Danyel Fisher, Steven Drucker, Gonzalo Ramos, Paul Andre, Chang Hu
Proceedings of CHI 2009 | April 2009
Characterizing the Influence of Domain Expertise on Web Search Behavior
Ryen W. White, Susan Dumais, Jaime Teevan
Proceedings of Web Search and Data Mining (WSDM) 2009 | February 2009
Discovering and Using Groups to Improve Personalized Search
Jaime Teevan, Meredith Ringel Morris, Steve Bush
Proceedings of Web Search and Data Mining (WSDM) 2009 | February 2009
The Web Changes Everything: Understanding the Dynamics of Web Content
Eytan Adar, Jaime Teevan, Susan Dumais, Jonathan L. Elsas
Proceedings of Web Search and Data Mining (WSDM) 2009 | February 2009
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Enhancing Collaborative Web Search with Personalization: Groupization, Smart Splitting, and Group Hit-Highlighting
Meredith Ringel Morris, Jaime Teevan, Steve Bush
Proceedings of CSCW 2008 | November 2008
Challenges for Supporting Faceted Search in Large, Heterogeneous Corpora like the Web
Jaime Teevan, Susan Dumais, Zachary Gutt
HCIR 2008 | October 2008
How People Recall, Recognize and Reuse Search Results
ACM Transactions on Information Systems (TOIS) | September 2008
To Personalize or Not to Personalize: Modeling Queries with Variation in User Intent
Jaime Teevan, Susan Dumais, Dan Liebling
Proceedings of SIGIR 2008 | July 2008
Understanding Groups’ Properties as a Means of Improving Collaborative Search Systems
Meredith Ringel Morris, Jaime Teevan
JCDL 2008 Workshop on Collaborative Information Retrieval | June 2008
Large Scale Analysis of Web Revisitation Patterns
Eytan Adar, Jaime Teevan, Susan Dumais
Proceedings of CHI 2008 | April 2008
How Medical Expertise Influences Web Search Interaction
Ryen W. White, Susan Dumais, Jaime Teevan
SIGIR 2008 (poster) | March 2008
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“Where’d it Go?”: How People Ask After Lost Web Information
Proceedings of ASIST | October 2007
The Re:Search Engine: Simultaneous Support for Finding and Re-Finding
Proceedings of UIST | October 2007
Personal Information Management
Seattle: University of Washington Press | July 2007
Information Re-Retrieval: Repeat Queries in Yahoo’s Logs
Jaime Teevan, Eytan Adar, Rosie Jones, Michael Potts
Proceedings of the 30th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR 2007), Amsterdam, The Netherlands | June 2007
ISBN: 978-1-59593-597-7
Characterizing the Value of Personalizing Search
Jaime Teevan, Susan Dumais, Eric Horvitz
Proceedings of the 30th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR 2007), Amsterdam, The Netherlands | June 2007
ISBN: 978-1-59593-597-7
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History Repeats Itself: Repeat Queries in Yahoo’s Logs
Jaime Teevan, Eytan Adar, Rosie Jones, Michael Potts
Proceedings of the 29th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR 2006), Seattle, WA | August 2006
ISBN: 1-59593-369-7
How People Recall Search Result Lists
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2006), Montreal, Canada | April 2006
Searching to Eliminate Personal Information Management
Ed Cutrell, Susan Dumais, Jaime Teevan
Communications of the ACM (CACM) | January 2006, Vol 49(1): pp. 58-64
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Personalizing Search via Automated Analysis of Interests and Activities
Jaime Teevan, Susan Dumais, Eric Horvitz
Proceedings of SIGIR 2005 | August 2005
Beyond the Commons: Investigating the Value of Personalizing Web Search
Jaime Teevan, Susan Dumais, Eric Horvitz
Proceedings PIA 2005: Workshop on New Technologies for Personalized Information Access | July 2005
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How People Re-find Information When the Web Changes
AI-Memo-2004-012 | June 2004
The Perfect Search Engine Is Not Enough: A Study of Orienteering Behavior in Directed Search
Jaime Teevan, Christine Alvarado, Mark S. Ackerman, David R. Karger
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2004), Vienna, Austria | April 2004
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Tackling the Poor Assumptions of Naive Bayes Text Classifiers
Jason D. M. Rennie, Lawrence Shih, Jaime Teevan, David R. Karger
Proceedings of the Twentieth International Conference on Machine Learning (ICML 2003), Washington, D.C. | September 2003
Implicit Feedback for Inferring User Preference: A Bibliography
Diane Kelly, Jaime Teevan
SIGIR Forum | August 2003, Vol 37(2)
Empirical Development of an Exponential Probabilistic Model for Text Retrieval: Using Textual Analysis to Build a Better Model
Jaime Teevan, David R. Karger
Proceedings of the 26th Annual ACM Conference on Research and Development in Information Retrieval, Toronto, Canada | May 2003
Surviving the Information Explosion: How People Find Their Electronic Information
Christine Alvarado, Jaime Teevan, Mark S. Ackerman
AIM-2003-006 | April 2003
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Displaying Dynamic Information
Proceedings of ACM Conference on Human Factors in Computing Systems (CHI 2001), Seattle, WA | April 2001
Publications by Research Area
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Generative AI in Real-World Workplaces
Sonia Jaffe, Neha Parikh Shah, Jenna Butler, Alex Farach, Alexia Cambon, Brent Hecht, Michael Schwarz, Jaime Teevan
MSR-TR-2024-29 | July 2024
Published by Microsoft
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan
March 2024
Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Published by Microsoft
Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity
Alexia Cambon, Brent Hecht, Benjamin Edelman, Donald Ngwe, Sonia Jaffe, Amy Heger, Mihaela Vorvoreanu, Sida Peng, Jake Hofman, Alex Farach, Margarita Bermejo-Cano, Eric Knudsen, James Bono, Hardik Sanghavi, Sofia Spatharioti, David Rothschild, Daniel G. Goldstein, Eirini Kalliamvakou, Peter Cihon, Mert Demirer, Michael Schwarz, Jaime Teevan
MSR-TR-2023-43 | December 2023
Published by Microsoft
Learning Causal Effects on Hypergraphs
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht, Jaime Teevan
2022 SIGKDD Conference on Knowledge Discovery and Data Mining | August 2022
KDD Best Paper Award 2022
Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
Published by Microsoft
Publication Video Video Video Video Video Video Project Project Project Project
The effects of remote work on collaboration among information workers
Longqi Yang, David Holtz, Sonia Jaffe, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Parikh Shah, Kevin Sherman, Brent Hecht, Jaime Teevan
Nature Human Behaviour | September 2021
Learning to Represent Human Motives for Goal-directed Web Browsing
Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahar Sarrafzadeh, Brent Hecht, Jaime Teevan
15th ACM Conference on Recommender Systems | August 2021
The New Future of Work: Research from Microsoft into the Pandemic’s Impact on Work Practices
Jaime Teevan, Brent Hecht, Sonia Jaffe, Nancy Baym, Rachel Bergmann, Matt Brodsky, Bill Buxton, Jenna Butler, Adam Coleman, Mary Czerwinski, Brian Houck, Ginger Hudson, Shamsi Iqbal, Chandra Maddila, Kate Nowak, Emily Peloquin, Ricardo Reyna Fernandez, Sean Rintel, Abigail Sellen, Tiffany Smith, Margaret-Anne Storey, Siddharth Suri, Hana Wolf, Longqi Yang
MSR-TR-2021-1 | January 2021
Published by Microsoft
Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work
Harmanpreet Kaur, Alex C. Williams, Daniel McDuff, Mary Czerwinski, Jaime Teevan, Shamsi Iqbal
ACM Conference on Human Factors in Computing Systems (CHI) | April 2020
Guidelines for Human-AI Interaction
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz
CHI 2019 | May 2019
CHI 2019 Honorable Mention Award
An Introduction to Technological Support for Writing
Nick Greer, Jaime Teevan, Shamsi Iqbal
MSR-TR-2016-1 | April 2016
OMG UR Funny! Computer-Aided Humor with an Application to Chat
Miaomiao Wen, Nancy Baym, Omer Tamuz, Jaime Teevan, Susan Dumais, Adam Tauman Kalai
ICCC 2015 | October 2015
The Cost of Asking Crowd Workers to Behave Maliciously
Walter. S. Lasecki, Jaime Teevan, Ece Kamar
In Proceedings of the Workshop on Human-Agent Interaction Design and Models (HAIDM 2015) at AAMAS 2015 | February 2015
A Crowd of Your Own: Crowdsourcing for On-Demand Personalization
Peter Organisciak, Jaime Teevan, Susan Dumais, Robert C. Miller, Adam Tauman Kalai
HCOMP 2014 | November 2014
Notable Paper
Behavioral Dynamics on the Web: Learning, Modeling, and Prediction
Kira Radinsky, Krysta M. Svore, Susan Dumais, Milad Shokouhi, Jaime Teevan, Alex Bocharov, Eric Horvitz
ACM Transactions on Information Systems | July 2013, Vol 31(3)
Notable Computing Books and Articles of 2013
Modeling and Predicting Behavioral Dynamics on the Web
Kira Radinsky, Krysta M. Svore, Susan Dumais, Jaime Teevan, Alex Bocharov, Eric Horvitz
Proceedings of the 21st International World Wide Web (WWW) Conference | April 2012
To appear.
A Longitudinal Study of How Highlighting Web Content Change Affects People’s Web Interactions
Jaime Teevan, Susan Dumais, Dan Liebling
Proc. 2010 ACM Conf. on Human Factors in Computing Systems (CHI 2010) | April 2010
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Generative AI in Real-World Workplaces
Sonia Jaffe, Neha Parikh Shah, Jenna Butler, Alex Farach, Alexia Cambon, Brent Hecht, Michael Schwarz, Jaime Teevan
MSR-TR-2024-29 | July 2024
Published by Microsoft
Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Published by Microsoft
Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity
Alexia Cambon, Brent Hecht, Benjamin Edelman, Donald Ngwe, Sonia Jaffe, Amy Heger, Mihaela Vorvoreanu, Sida Peng, Jake Hofman, Alex Farach, Margarita Bermejo-Cano, Eric Knudsen, James Bono, Hardik Sanghavi, Sofia Spatharioti, David Rothschild, Daniel G. Goldstein, Eirini Kalliamvakou, Peter Cihon, Mert Demirer, Michael Schwarz, Jaime Teevan
MSR-TR-2023-43 | December 2023
Published by Microsoft
Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
Published by Microsoft
Publication Video Video Video Video Video Video Project Project Project Project
The effects of remote work on collaboration among information workers
Longqi Yang, David Holtz, Sonia Jaffe, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Parikh Shah, Kevin Sherman, Brent Hecht, Jaime Teevan
Nature Human Behaviour | September 2021
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Generative AI in Real-World Workplaces
Sonia Jaffe, Neha Parikh Shah, Jenna Butler, Alex Farach, Alexia Cambon, Brent Hecht, Michael Schwarz, Jaime Teevan
MSR-TR-2024-29 | July 2024
Published by Microsoft
Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Published by Microsoft
Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity
Alexia Cambon, Brent Hecht, Benjamin Edelman, Donald Ngwe, Sonia Jaffe, Amy Heger, Mihaela Vorvoreanu, Sida Peng, Jake Hofman, Alex Farach, Margarita Bermejo-Cano, Eric Knudsen, James Bono, Hardik Sanghavi, Sofia Spatharioti, David Rothschild, Daniel G. Goldstein, Eirini Kalliamvakou, Peter Cihon, Mert Demirer, Michael Schwarz, Jaime Teevan
MSR-TR-2023-43 | December 2023
Published by Microsoft
Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
Published by Microsoft
Publication Video Video Video Video Video Video Project Project Project Project
“I Didn’t Know I Looked Angry”: Characterizing Observed Emotion and Reported Affect at Work
Harmanpreet Kaur, Daniel McDuff, Alex C. Williams, Jaime Teevan, Shamsi Iqbal
CHI 2022 | April 2022
The effects of remote work on collaboration among information workers
Longqi Yang, David Holtz, Sonia Jaffe, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Parikh Shah, Kevin Sherman, Brent Hecht, Jaime Teevan
Nature Human Behaviour | September 2021
Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources
Amanda Swearngin, Shamsi Iqbal, Victor Poznanski, Mark Encarnación, Paul Bennett, Jaime Teevan
ACM CHI 2021 | May 2021
Honorable Mention
Large Scale Analysis of Multitasking Behavior During Remote Meetings
Hancheng Cao, Chia-Jung Lee, Shamsi Iqbal, Mary Czerwinski, Priscilla Wong, Sean Rintel, Brent Hecht, Jaime Teevan, Longqi Yang
CHI 2021 | May 2021
Honorable Mention
The New Future of Work: Research from Microsoft into the Pandemic’s Impact on Work Practices
Jaime Teevan, Brent Hecht, Sonia Jaffe, Nancy Baym, Rachel Bergmann, Matt Brodsky, Bill Buxton, Jenna Butler, Adam Coleman, Mary Czerwinski, Brian Houck, Ginger Hudson, Shamsi Iqbal, Chandra Maddila, Kate Nowak, Emily Peloquin, Ricardo Reyna Fernandez, Sean Rintel, Abigail Sellen, Tiffany Smith, Margaret-Anne Storey, Siddharth Suri, Hana Wolf, Longqi Yang
MSR-TR-2021-1 | January 2021
Published by Microsoft
Remote Work and Well-being
Shamsi Iqbal, Jina Suh, Mary Czerwinski, Gloria Mark, Jaime Teevan
August 2020
How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19.
Longqi Yang, Sonia Jaffe, David Holtz, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Shah, Kevin Sherman, Chia-Jung Lee, Brent Hecht, Jaime Teevan
July 2020
Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work
Harmanpreet Kaur, Alex C. Williams, Daniel McDuff, Mary Czerwinski, Jaime Teevan, Shamsi Iqbal
ACM Conference on Human Factors in Computing Systems (CHI) | April 2020
Mercury: Empowering Programmers’ Mobile Work Practices with Microproductivity
Alex Williams, Harmanpreet Kaur, Shamsi Iqbal, Ryen W. White, Jaime Teevan, Adam Fourney
UIST 2019 | October 2019
Casual Microtasking: Embedding Microtasks in Facebook
Nathan Hahn, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
An Exploration of Speech-Based Productivity Support in the Car
Nikolas Martelaro, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
Guidelines for Human-AI Interaction
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz
CHI 2019 | May 2019
CHI 2019 Honorable Mention Award
Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning
Harmanpreet Kaur, Alex Williams, Anne Loomis Thompson, Walter Lasecki, Shamsi Iqbal, Jaime Teevan
Computer-Supported Cooperative Work (CSCW) | November 2018
Multitasking with Play Write, a Mobile Microproductivity Tool
Shamsi Iqbal, Jaime Teevan, Dan Liebling, Anne Loomis Thompson
UIST 2018 | October 2018
Supporting Workplace Detachment and Reattachment with Conversational Intelligence
Alex Williams, Harmanpreet Kaur, Gloria Mark, Anne Loomis Thompson, Shamsi Iqbal, Jaime Teevan
2018 ACM Conference on Human Factors in Computing Systems (CHI '18) | April 2018
Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop
Justin Cranshaw, Emad Elwany, Todd Newman, Rafal Kocielnik, Bowen Yu, Sandeep Soni, Jaime Teevan, Andrés Monroy-Hernández
ACM CHI Conference on Human Factors in Computing Systems | January 2017
Chain Reactions: The Impact of Order on Microtask Chains
Carrie J. Cai, Shamsi Iqbal, Jaime Teevan
CHI 2016 | May 2016
WearWrite: Crowd-Assisted Writing from Smartwatches
Michael Nebeling, Alexandra To, Anhong Guo, Adrian A. de Freitas, Jaime Teevan, Steven P. Dow, Jeffrey P. Bigham
CHI 2016 | May 2016
Supporting Collaborative Writing with Microtasks
Jaime Teevan, Shamsi Iqbal, Curtis von Veh
CHI 2016 | May 2016
Productivity Decomposed: Getting Big Things Done with Little Microtasks
Jaime Teevan, Jeffrey P. Bigham, Shamsi Iqbal, Michael S. Bernstein, Carrie J. Cai, Elizabeth M. Gerber
A workshop at the ACM Conference on Human Factors in Computing Systems (CHI 2016), San Jose, CA | May 2016
An Introduction to Technological Support for Writing
Nick Greer, Jaime Teevan, Shamsi Iqbal
MSR-TR-2016-1 | April 2016
OMG UR Funny! Computer-Aided Humor with an Application to Chat
Miaomiao Wen, Nancy Baym, Omer Tamuz, Jaime Teevan, Susan Dumais, Adam Tauman Kalai
ICCC 2015 | October 2015
Crowdsourcing in the Field: A Case Study Using Local Crowds for Event Reporting
Elena Agapie, Jaime Teevan, Andrés Monroy-Hernández
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP-15) | August 2015
Best Paper Award
Large Scale Log Analysis of Individuals’ Domain Preferences in Web Search
Sarah K. Tyler, Jaime Teevan, Peter Bailey, Sebastian de la Chica, Nikhil Dandekar
MSR-TR-2015-048 | June 2015
The Activity Platform
Helen Wang, Alexander Moshchuk, Michael Gamon, Mona Haraty, Shamsi Iqbal, Eli T. Brown, Ashish Kapoor, Chris Meek, Eric Chen, Yuan Tian, Jaime Teevan, Mary Czerwinski, Susan Dumais
USENIX 15th Workshop on Hot Topics in Operating Systems (HotOS XV) | May 2015
Break It Down: A Comparison of Macro- and Microtasks
Justin Cheng, Jaime Teevan, Shamsi Iqbal, Michael S. Bernstein
ACM Conference on Human Factors for Computing Systems (CHI) | April 2015
“For Telling” the Present: Using the Delphi Method to Understand Personal Information Management Practices
William Jones, Robert Capra, Anne Diekema, Jaime Teevan, Manuel Pérez-Quiñones, Jesse David Dinneen, Bradley Hemminger
CHI 2015 | April 2015
Measuring Crowdsourcing Effort with Error-Time Curves
Justin Cheng, Jaime Teevan, Michael S. Bernstein
CHI 2015 | April 2015
Best Paper Honorable Mention
A Crowd of Your Own: Crowdsourcing for On-Demand Personalization
Peter Organisciak, Jaime Teevan, Susan Dumais, Robert C. Miller, Adam Tauman Kalai
HCOMP 2014 | November 2014
Notable Paper
Characterizing Multi-Click Search Behavior and the Risks and Opportunities of Changing Results during Use
Chia-Jung Lee, Jaime Teevan, Sebastian de la Chica
SIGIR 2014 | July 2014
Mobile Support for Face-to-Face Social Interaction
Jaime Teevan, Meredith Ringel Morris, Scott Saponas
2014 Human-Computer Interaction Consortium Workshop (HCIC) | June 2014
Supporting Interpersonal Interaction during Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris
IEEE Computer | March 2014, Vol 47(3): pp. 54-57
Lessons from the Journey: A Query Log Analysis of Within-Session Learning
Carsten Eickhoff, Jaime Teevan, Ryen W. White, Susan Dumais
WSDM 2014 | February 2014
Information Extraction and Manipulation Threats in Crowd-Powered Systems
Walter S. Lasecki, Jaime Teevan, Ece Kamar
CSCW 2014 | February 2014
To Search or to Ask: The Routing of Information Needs Between Traditional Search Engines and Social Networks
Anne Oeldorf-Hirsch, Brent Hecht, Meredith Ringel Morris, Jaime Teevan, Darren Gergle
Proceedings of CSCW 2014 | February 2014
Using Physical Signaling to Support Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris, Shiri Azenkot
Extended Abstracts of CSCW 2014 | February 2014
Smartphone Use Does Not Have to Be Rude: Making Phones a Collaborative Presence in Meetings
Matthias Böhmer, Scott Saponas, Jaime Teevan
August 2013
Towards Supporting Search over Trending Events with Social Media
Sanjay Kairam, Meredith Ringel Morris, Jaime Teevan, Dan Liebling, Susan Dumais
Proceedings of ICWSM 2013 | July 2013
Best Paper Honorable Mention
A Crowd-Powered Socially Embedded Search Engine
Jin-Woo Jeong, Meredith Ringel Morris, Jaime Teevan, Dan Liebling
Proceedings of ICWSM 2013 | July 2013
Clarifications and Question Specificity in Synchronous Social Q&A
Makoto Kato, Ryen W. White, Jaime Teevan, Susan Dumais
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2013) | April 2013
Benevolent Deception in Human Computer Interaction
Eytan Adar, Desney Tan, Jaime Teevan
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2013) | April 2013
Displaying Mobile Feedback During a Presentation
Jaime Teevan, Dan Liebling, Ann Paradiso, Carlos Garcia Jurado Suarez, Curtis von Veh, Darren Gehring
Proc. MobileHCI 2012 | September 2012
SearchBuddies: Bringing Search Engines into the Conversation
Brent Hecht, Jaime Teevan, Meredith Ringel Morris, Dan Liebling
Proc. ICWSM 2012 | June 2012
Direct Answers for Search Queries in the Long Tail
Michael S. Bernstein, Jaime Teevan, Susan Dumais, Dan Liebling, Eric Horvitz
Proc. CHI 2012 | May 2012
Best Paper, Honorable Mention
Trajectory-Aware Mobile Search
John Krumm, Jaime Teevan, Amy Karlson, A.J. Brush
CHI 2012 | May 2012
Understanding the Importance of Location, Time, and People in Mobile Local Search Behavior
Jaime Teevan, Amy Karlson, Shahriyar Amini, A.J. Brush, John Krumm
Mobile HCI 2011 | September 2011
Culture Matters: A Survey Study of Social Q&A Behavior
Jiang Yang, Meredith Ringel Morris, Jaime Teevan, Lada A. Adamic, Mark S. Ackerman
Proceedings of ICWSM 2011 | January 2011
#TwitterSearch: A Comparison of Microblog Search and Web Search
Jaime Teevan, Daniel Ramage, Meredith Ringel Morris
Proceedings of WSDM 2011 | January 2011
Factors Affecting Response Quantity, Quality and Speed in Questions Asked via Online Social Networks
Jaime Teevan, Meredith Ringel Morris, Katrina Panovich
Proceedings of ICWSM 2011 | January 2011
Using the Crowd to Improve Search Result Ranking and the Search Experience
Yubin Kim, Kevyn Collins-Thompson, Jaime Teevan
ACM Transactions on Intelligent Systems and Technology (TIST) | March 2010
Collaborative Web Search: Who, What, Where, When, and Why?
Meredith Ringel Morris, Jaime Teevan
Published by Morgan & Claypool | January 2010
ISBN: 1608451216
What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior
Meredith Ringel Morris, Jaime Teevan, Katrina Panovich
Proceedings of CHI 2010 | January 2010
Changing How People View Changes on the Web
Jaime Teevan, Susan Dumais, Dan Liebling, Richard Hughes
Proceedings UIST '09, Victoria, BC, Canada | October 2009
How People Recall, Recognize and Reuse Search Results
ACM Transactions on Information Systems (TOIS) | September 2008
Understanding Groups’ Properties as a Means of Improving Collaborative Search Systems
Meredith Ringel Morris, Jaime Teevan
JCDL 2008 Workshop on Collaborative Information Retrieval | June 2008
“Where’d it Go?”: How People Ask After Lost Web Information
Proceedings of ASIST | October 2007
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Displaying Dynamic Information
Proceedings of ACM Conference on Human Factors in Computing Systems (CHI 2001), Seattle, WA | April 2001
Generative AI in Real-World Workplaces
Sonia Jaffe, Neha Parikh Shah, Jenna Butler, Alex Farach, Alexia Cambon, Brent Hecht, Michael Schwarz, Jaime Teevan
MSR-TR-2024-29 | July 2024
Published by Microsoft
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan
March 2024
Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Published by Microsoft
Keynote: Searching for a New and Better Future of Work
2022 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2022
Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
Published by Microsoft
Publication Video Video Video Video Video Video Project Project Project Project
Learning to Represent Human Motives for Goal-directed Web Browsing
Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahar Sarrafzadeh, Brent Hecht, Jaime Teevan
15th ACM Conference on Recommender Systems | August 2021
Meeting Scheduling Assistance with Structured Workflows
Justin Cranshaw, Emad Elwany, Todd Newman, Rafal Kocielnik, Bowen Yu, Sandeep Soni, Jaime Teevan, Andres Monroy-Hernandez
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2017), Denver, CO | May 2017
Communicating Context to the Crowd for Complex Writing Tasks
Niloufar Salehi, Jaime Teevan, Shamsi Iqbal, Ece Kamar
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work (CSCW 2017), Portland, OR | February 2017
Honorable Mention
Design and In-Situ Evaluation of a Mixed-Initiative Approach to Information Organization
Mona Haraty, Zhongyuan Wang, Helen Wang, Shamsi Iqbal, Jaime Teevan
Journal of the Association for Information Science and Technology (JASIST) | January 2017
The Future of Microwork
XRDS | November 2016, Vol 23(2)
Characterizing Cross-Domain Search Behavior
Rishabh Mehrotra, Paul N. Bennett, Susan Dumais, Jaime Teevan
Proceedings of the Second Workshop on Heterogeneous Information Access at SIGIR 2016 (HIA'16) | July 2016
Explicit In Situ User Feedback for Web Search Results
Jin Young Kim, Jaime Teevan, Nick Craswell
Proceedings of the 39th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, Italy | June 2016
The Web Is Flat: The Inflation of Uncommon Experiences Online
Danae Metaxa-Kakavouli, Gili Rusak, Jaime Teevan, Michael S. Bernstein
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2016) San Jose, CA, May 2016 (Late Breaking Work) | May 2016
Best Paper
Selfsourced Writing
Productivity Decomposed: Getting Big Things Done with Little Microtasks, a workshop at CHI 2016 | May 2016
WearWrite: Crowd-Assisted Writing from Smartwatches
Michael Nebeling, Alexandra To, Anhong Guo, Adrian A. de Freitas, Jaime Teevan, Steven P. Dow, Jeffrey P. Bigham
CHI 2016 | May 2016
Supporting Collaborative Writing with Microtasks
Jaime Teevan, Shamsi Iqbal, Curtis von Veh
CHI 2016 | May 2016
Productivity Decomposed: Getting Big Things Done with Little Microtasks
Jaime Teevan, Jeffrey P. Bigham, Shamsi Iqbal, Michael S. Bernstein, Carrie J. Cai, Elizabeth M. Gerber
A workshop at the ACM Conference on Human Factors in Computing Systems (CHI 2016), San Jose, CA | May 2016
An Introduction to Technological Support for Writing
Nick Greer, Jaime Teevan, Shamsi Iqbal
MSR-TR-2016-1 | April 2016
WearWrite: Orchestrating the Crowd to Complete Complex Tasks from Wearables
Michael Nebeling, Anhong Guo, Alexandra To, Steven Dow, Jaime Teevan, Jeffrey Bigham
Proceedings of the 28th ACM User Interface Software and Technology Symposium (UIST 2015), Charlotte, NC | November 2015
Matching and Grokking: Approaches to Personalized Crowdsourcing
Adam Tauman Kalai, Susan Dumais, Jaime Teevan
International Joint Conferences on Artificial Intelligence (IJCAI 2015) | July 2015
Best Papers From Sister Conferences Track
WearWrite: Orchestrating the Crowd to Complete Complex Tasks from Wearables (We Wrote This Paper on a Watch)
Michael Nebeling, Anhong Guo, Kyle Murray, Annika Tostengard, Angelos Giannopoulos, Martin Mihajlov, Steven Dow, Jaime Teevan, Jeffrey P. Bigham
June 2015
Large Scale Log Analysis of Individuals’ Domain Preferences in Web Search
Sarah K. Tyler, Jaime Teevan, Peter Bailey, Sebastian de la Chica, Nikhil Dandekar
MSR-TR-2015-048 | June 2015
The Activity Platform
Helen Wang, Alexander Moshchuk, Michael Gamon, Mona Haraty, Shamsi Iqbal, Eli T. Brown, Ashish Kapoor, Chris Meek, Eric Chen, Yuan Tian, Jaime Teevan, Mary Czerwinski, Susan Dumais
USENIX 15th Workshop on Hot Topics in Operating Systems (HotOS XV) | May 2015
“For Telling” the Present: Using the Delphi Method to Understand Personal Information Management Practices
William Jones, Robert Capra, Anne Diekema, Jaime Teevan, Manuel Pérez-Quiñones, Jesse David Dinneen, Bradley Hemminger
CHI 2015 | April 2015
Blue Ribbon Panel Consensus Report on Better Practices of Personal Information Management
March 2015
Preserving Privacy in Crowd-Powered Systems
Walter S. Lasecki, Mitchell Gordon, Jaime Teevan, Ece Kamar, Jeff P. Bigham
In Proceedings of the Workshop on Human-Agent Interaction Design and Models (HAIDM 2015) at AAMAS 2015 | January 2015
A Crowd of Your Own: Crowdsourcing for On-Demand Personalization
Peter Organisciak, Jaime Teevan, Susan Dumais, Robert C. Miller, Adam Tauman Kalai
HCOMP 2014 | November 2014
Notable Paper
Viewpoint: Slow Search
Jaime Teevan, Kevyn Collins-Thompson, Ryen W. White, Susan Dumais
Communications of the ACM | August 2014, Vol 57(8)
Slow Search
Jaime Teevan, Kevyn Collins-Thompson, Ryen W. White, Susan Dumais
Communications of the ACM | August 2014, Vol 57: pp. 36-38
CiteSight: Supporting Contextual Citation Recommendation Using Differential Search
Avishay Livne, Vivek Gokuladas, Jaime Teevan, Susan Dumais, Eytan Adar
SIGIR 2014 | July 2014
Characterizing Multi-Click Search Behavior and the Risks and Opportunities of Changing Results during Use
Chia-Jung Lee, Jaime Teevan, Sebastian de la Chica
SIGIR 2014 | July 2014
Selfsourcing Personal Tasks
Dan Liebling, Jaime Teevan, Walter S. Lasecki
Proceedings of CHI 2014 | April 2014
Selfsourcing Personal Tasks
Jaime Teevan, Dan Liebling, Walter S. Lasecki
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2014) Toronto, Canada | April 2014
Understanding User Behavior Through Log Data and Analysis
Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, Jaime Teevan
Ways of Knowing in HCI
Published by Springer | March 2014
ISBN: 978-1-4939-0378-8
Supporting Interpersonal Interaction during Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris
IEEE Computer | March 2014, Vol 47(3): pp. 54-57
Lessons from the Journey: A Query Log Analysis of Within-Session Learning
Carsten Eickhoff, Jaime Teevan, Ryen W. White, Susan Dumais
WSDM 2014 | February 2014
To Search or to Ask: The Routing of Information Needs Between Traditional Search Engines and Social Networks
Anne Oeldorf-Hirsch, Brent Hecht, Meredith Ringel Morris, Jaime Teevan, Darren Gergle
Proceedings of CSCW 2014 | February 2014
Using Physical Signaling to Support Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris, Shiri Azenkot
Extended Abstracts of CSCW 2014 | February 2014
Family Friendly Conferences
ACM-W Connections | January 2014
Personalized Human Computation
Peter Organisciak, Jaime Teevan, Susan Dumais, Robert C. Miller, Adam Tauman Kalai
Proceedings of HComp 2013 | November 2013
Crowdsourcing for Robustness in Web Search
Yubin Kim, Kevyn Collins-Thompson, Jaime Teevan
Proceedings of NIST Special Publication: The Twenty-Second Text REtrieval Conference (TREC 2013), Gaithersburg, Maryland | November 2013
Slow Search: Information Retrieval without Time Constraints
Jaime Teevan, Kevyn Collins-Thompson, Ryen W. White, Susan Dumais, Yubin Kim
Proceedings of HCIR 2013 | October 2013
Understanding How People Interact with Web Search Results that Change in Real-Time Using Implicit Feedback
Jin Young Kim, Mark Cramer, Jaime Teevan, Dmitry Lagun
CIKM 2013 | October 2013
Towards Supporting Search over Trending Events with Social Media
Sanjay Kairam, Meredith Ringel Morris, Jaime Teevan, Dan Liebling, Susan Dumais
Proceedings of ICWSM 2013 | July 2013
Best Paper Honorable Mention
Behavioral Dynamics on the Web: Learning, Modeling, and Prediction
Kira Radinsky, Krysta M. Svore, Susan Dumais, Milad Shokouhi, Jaime Teevan, Alex Bocharov, Eric Horvitz
ACM Transactions on Information Systems | July 2013, Vol 31(3)
Notable Computing Books and Articles of 2013
A Crowd-Powered Socially Embedded Search Engine
Jin-Woo Jeong, Meredith Ringel Morris, Jaime Teevan, Dan Liebling
Proceedings of ICWSM 2013 | July 2013
“Does Anyone Know How to Get Good Answers?” How Social Network Questions Shape Replies
Jaime Teevan, Meredith Ringel Morris, Katrina Panovich
MSR-TR-2013-62 | June 2013
Predicting Citation Counts Using Text and Graph Mining
Avishay Livne, Eytan Adar, Jaime Teevan, Susan Dumais
iConference 2013, Workshop on Computational Scientometrics: Theory and Application | February 2013
Understanding How the Projection of Availability State Impacts the Reception of Incoming Communication
Jaime Teevan, Alexander Hehmeyer
Proceedings of the 2013 ACM Conference on Computer Supported Cooperative Work (CSCW '13) | February 2013
Creating Temporally Dynamic Web Search Snippets
Krysta M. Svore, Jaime Teevan, Susan Dumais, Anagha Kulkarni
Proceedings of SIGIR'12, Portland, Oregon, USA | August 2012
SearchBuddies: Bringing Search Engines into the Conversation
Brent Hecht, Jaime Teevan, Meredith Ringel Morris, Dan Liebling
Proc. ICWSM 2012 | June 2012
Exploring the Complementary Roles of Social Networks and Search Engines
Meredith Ringel Morris, Jaime Teevan
2012 Human-Computer Interaction Consortium Workshop (HCIC), Asilomar, CA | June 2012
Direct Answers for Search Queries in the Long Tail
Michael S. Bernstein, Jaime Teevan, Susan Dumais, Dan Liebling, Eric Horvitz
Proc. CHI 2012 | May 2012
Best Paper, Honorable Mention
Modeling and Predicting Behavioral Dynamics on the Web
Kira Radinsky, Krysta M. Svore, Susan Dumais, Jaime Teevan, Alex Bocharov, Eric Horvitz
Proceedings of the 21st International World Wide Web (WWW) Conference | April 2012
To appear.
The Search Dashboard: How Reflection and Comparison Impact Search Behavior
Scott Bateman, Jaime Teevan, Ryen W. White
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '12). | January 2012
Web Retrieval, Ranking and Personalization
Jaime Teevan, Susan Dumais, Ryen W. White
Interactive Information Seeking and Retrieval
July 2011
Modeling and Analyses of Multi-Session Search Tasks
Alexander Kotov, Paul Bennett, Ryen W. White, Susan Dumais, Jaime Teevan
SIGIR'11, Beijing, China | July 2011
Modeling and Analysis of Cross-Session Search Tasks
Alexander Kotov, Paul Bennett, Ryen W. White, Susan Dumais, Jaime Teevan
Proceedings of SIGIR 2011 | July 2011
Design and Analysis of Large Scale Log Studies
Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, Jaime Teevan
CHI 2011 (Course) | May 2011
Understanding and Predicting Personal Navigation
Jaime Teevan, Dan Liebling, Gayathri Ravichandran Geetha
Proc. WSDM 2011 | February 2011
Understanding Temporal Query Dynamics
Anagha Kulkarni, Jaime Teevan, Krysta M. Svore, Susan Dumais
Web Search and Data Mining (WSDM) 2011 | February 2011
Addressing Information Needs Directly in the Search Result Page
Lydia B. Chilton, Jaime Teevan
Proceedings of WWW 2011 | January 2011
Potential for Personalization
Jaime Teevan, Susan Dumais, Eric Horvitz
ACM Transactions on Computer-Human Interaction | March 2010, Vol 4: pp. 31
Using the Crowd to Improve Search Result Ranking and the Search Experience
Yubin Kim, Kevyn Collins-Thompson, Jaime Teevan
ACM Transactions on Intelligent Systems and Technology (TIST) | March 2010
Design of Large Scale Log Analysis Studies
Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, Jaime Teevan
February 2010
HCIC 2010
Collaborative Web Search: Who, What, Where, When, and Why?
Meredith Ringel Morris, Jaime Teevan
Published by Morgan & Claypool | January 2010
ISBN: 1608451216
Large Scale Query Log Analysis of Re-Finding
Sarah K. Tyler, Jaime Teevan
Proceedings of WSDM 2010 | January 2010
A Comparison of Information Seeking Using Search Engines and Social Networks
Meredith Ringel Morris, Jaime Teevan, Katrina Panovich
Proceedings of ICWSM 2010 | January 2010
What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior
Meredith Ringel Morris, Jaime Teevan, Katrina Panovich
Proceedings of CHI 2010 | January 2010
Discovery Is Never by Chance: Designing for (Un)Serendipity
Paul André, m.c. schraefel, Jaime Teevan, Susan Dumais
Proc. Creativity & Cognition 2009 | October 2009
Changing How People View Changes on the Web
Jaime Teevan, Susan Dumais, Dan Liebling, Richard Hughes
Proceedings UIST '09, Victoria, BC, Canada | October 2009
Resonance on the Web: Web Dynamics and Revisitation Patterns
Eytan Adar, Jaime Teevan, Susan Dumais
Proceedings of CHI 2009 | April 2009
Visual Snippets: Summarizing Web Pages for Search and Revisitation
Jaime Teevan, Ed Cutrell, Danyel Fisher, Steven Drucker, Gonzalo Ramos, Paul Andre, Chang Hu
Proceedings of CHI 2009 | April 2009
From X-Rays to Silly Putty via Uranus: Serendipity and its Role in Web Search
Paul Andre, Jaime Teevan, Susan Dumais
Proceedings of CHI 2009 | April 2009
Characterizing the Influence of Domain Expertise on Web Search Behavior
Ryen W. White, Susan Dumais, Jaime Teevan
Proceedings of Web Search and Data Mining (WSDM) 2009 | February 2009
The Web Changes Everything: Understanding the Dynamics of Web Content
Eytan Adar, Jaime Teevan, Susan Dumais, Jonathan L. Elsas
Proceedings of Web Search and Data Mining (WSDM) 2009 | February 2009
Discovering and Using Groups to Improve Personalized Search
Jaime Teevan, Meredith Ringel Morris, Steve Bush
Proceedings of Web Search and Data Mining (WSDM) 2009 | February 2009
Enhancing Collaborative Web Search with Personalization: Groupization, Smart Splitting, and Group Hit-Highlighting
Meredith Ringel Morris, Jaime Teevan, Steve Bush
Proceedings of CSCW 2008 | November 2008
Challenges for Supporting Faceted Search in Large, Heterogeneous Corpora like the Web
Jaime Teevan, Susan Dumais, Zachary Gutt
HCIR 2008 | October 2008
How People Recall, Recognize and Reuse Search Results
ACM Transactions on Information Systems (TOIS) | September 2008
To Personalize or Not to Personalize: Modeling Queries with Variation in User Intent
Jaime Teevan, Susan Dumais, Dan Liebling
Proceedings of SIGIR 2008 | July 2008
Understanding Groups’ Properties as a Means of Improving Collaborative Search Systems
Meredith Ringel Morris, Jaime Teevan
JCDL 2008 Workshop on Collaborative Information Retrieval | June 2008
Large Scale Analysis of Web Revisitation Patterns
Eytan Adar, Jaime Teevan, Susan Dumais
Proceedings of CHI 2008 | April 2008
How Medical Expertise Influences Web Search Interaction
Ryen W. White, Susan Dumais, Jaime Teevan
SIGIR 2008 (poster) | March 2008
The Re:Search Engine: Simultaneous Support for Finding and Re-Finding
Proceedings of UIST | October 2007
“Where’d it Go?”: How People Ask After Lost Web Information
Proceedings of ASIST | October 2007
Personal Information Management
Seattle: University of Washington Press | July 2007
Information Re-Retrieval: Repeat Queries in Yahoo’s Logs
Jaime Teevan, Eytan Adar, Rosie Jones, Michael Potts
Proceedings of the 30th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR 2007), Amsterdam, The Netherlands | June 2007
ISBN: 978-1-59593-597-7
Characterizing the Value of Personalizing Search
Jaime Teevan, Susan Dumais, Eric Horvitz
Proceedings of the 30th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR 2007), Amsterdam, The Netherlands | June 2007
ISBN: 978-1-59593-597-7
History Repeats Itself: Repeat Queries in Yahoo’s Logs
Jaime Teevan, Eytan Adar, Rosie Jones, Michael Potts
Proceedings of the 29th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR 2006), Seattle, WA | August 2006
ISBN: 1-59593-369-7
How People Recall Search Result Lists
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2006), Montreal, Canada | April 2006
Searching to Eliminate Personal Information Management
Ed Cutrell, Susan Dumais, Jaime Teevan
Communications of the ACM (CACM) | January 2006, Vol 49(1): pp. 58-64
Personalizing Search via Automated Analysis of Interests and Activities
Jaime Teevan, Susan Dumais, Eric Horvitz
Proceedings of SIGIR 2005 | August 2005
Beyond the Commons: Investigating the Value of Personalizing Web Search
Jaime Teevan, Susan Dumais, Eric Horvitz
Proceedings PIA 2005: Workshop on New Technologies for Personalized Information Access | July 2005
How People Re-find Information When the Web Changes
AI-Memo-2004-012 | June 2004
The Perfect Search Engine Is Not Enough: A Study of Orienteering Behavior in Directed Search
Jaime Teevan, Christine Alvarado, Mark S. Ackerman, David R. Karger
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2004), Vienna, Austria | April 2004
Tackling the Poor Assumptions of Naive Bayes Text Classifiers
Jason D. M. Rennie, Lawrence Shih, Jaime Teevan, David R. Karger
Proceedings of the Twentieth International Conference on Machine Learning (ICML 2003), Washington, D.C. | September 2003
Implicit Feedback for Inferring User Preference: A Bibliography
Diane Kelly, Jaime Teevan
SIGIR Forum | August 2003, Vol 37(2)
Empirical Development of an Exponential Probabilistic Model for Text Retrieval: Using Textual Analysis to Build a Better Model
Jaime Teevan, David R. Karger
Proceedings of the 26th Annual ACM Conference on Research and Development in Information Retrieval, Toronto, Canada | May 2003
Surviving the Information Explosion: How People Find Their Electronic Information
Christine Alvarado, Jaime Teevan, Mark S. Ackerman
AIM-2003-006 | April 2003
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Generative AI in Real-World Workplaces
Sonia Jaffe, Neha Parikh Shah, Jenna Butler, Alex Farach, Alexia Cambon, Brent Hecht, Michael Schwarz, Jaime Teevan
MSR-TR-2024-29 | July 2024
Published by Microsoft
Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Published by Microsoft
Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
Published by Microsoft
Publication Video Video Video Video Video Video Project Project Project Project
Large Scale Analysis of Multitasking Behavior During Remote Meetings
Hancheng Cao, Chia-Jung Lee, Shamsi Iqbal, Mary Czerwinski, Priscilla Wong, Sean Rintel, Brent Hecht, Jaime Teevan, Longqi Yang
CHI 2021 | May 2021
Honorable Mention
The New Future of Work: Research from Microsoft into the Pandemic’s Impact on Work Practices
Jaime Teevan, Brent Hecht, Sonia Jaffe, Nancy Baym, Rachel Bergmann, Matt Brodsky, Bill Buxton, Jenna Butler, Adam Coleman, Mary Czerwinski, Brian Houck, Ginger Hudson, Shamsi Iqbal, Chandra Maddila, Kate Nowak, Emily Peloquin, Ricardo Reyna Fernandez, Sean Rintel, Abigail Sellen, Tiffany Smith, Margaret-Anne Storey, Siddharth Suri, Hana Wolf, Longqi Yang
MSR-TR-2021-1 | January 2021
Published by Microsoft
Remote Work and Well-being
Shamsi Iqbal, Jina Suh, Mary Czerwinski, Gloria Mark, Jaime Teevan
August 2020
How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19.
Longqi Yang, Sonia Jaffe, David Holtz, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Shah, Kevin Sherman, Chia-Jung Lee, Brent Hecht, Jaime Teevan
July 2020
The Activity Platform
Helen Wang, Alexander Moshchuk, Michael Gamon, Mona Haraty, Shamsi Iqbal, Eli T. Brown, Ashish Kapoor, Chris Meek, Eric Chen, Yuan Tian, Jaime Teevan, Mary Czerwinski, Susan Dumais
USENIX 15th Workshop on Hot Topics in Operating Systems (HotOS XV) | May 2015
Mobile Support for Face-to-Face Social Interaction
Jaime Teevan, Meredith Ringel Morris, Scott Saponas
2014 Human-Computer Interaction Consortium Workshop (HCIC) | June 2014
SearchBuddies: Bringing Search Engines into the Conversation
Brent Hecht, Jaime Teevan, Meredith Ringel Morris, Dan Liebling
Proc. ICWSM 2012 | June 2012
Exploring the Complementary Roles of Social Networks and Search Engines
Meredith Ringel Morris, Jaime Teevan
2012 Human-Computer Interaction Consortium Workshop (HCIC), Asilomar, CA | June 2012
Direct Answers for Search Queries in the Long Tail
Michael S. Bernstein, Jaime Teevan, Susan Dumais, Dan Liebling, Eric Horvitz
Proc. CHI 2012 | May 2012
Best Paper, Honorable Mention
#TwitterSearch: A Comparison of Microblog Search and Web Search
Jaime Teevan, Daniel Ramage, Meredith Ringel Morris
Proceedings of WSDM 2011 | January 2011
Factors Affecting Response Quantity, Quality and Speed in Questions Asked via Online Social Networks
Jaime Teevan, Meredith Ringel Morris, Katrina Panovich
Proceedings of ICWSM 2011 | January 2011
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Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Published by Microsoft
Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
Published by Microsoft
Publication Video Video Video Video Video Video Project Project Project Project
Learning to Represent Human Motives for Goal-directed Web Browsing
Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahar Sarrafzadeh, Brent Hecht, Jaime Teevan
15th ACM Conference on Recommender Systems | August 2021
Large Scale Log Analysis of Individuals’ Domain Preferences in Web Search
Sarah K. Tyler, Jaime Teevan, Peter Bailey, Sebastian de la Chica, Nikhil Dandekar
MSR-TR-2015-048 | June 2015
-
Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Published by Microsoft
Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
Published by Microsoft
Publication Video Video Video Video Video Video Project Project Project Project
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
Published by Microsoft
Publication Video Video Video Video Video Video Project Project Project Project
The New Future of Work: Research from Microsoft into the Pandemic’s Impact on Work Practices
Jaime Teevan, Brent Hecht, Sonia Jaffe, Nancy Baym, Rachel Bergmann, Matt Brodsky, Bill Buxton, Jenna Butler, Adam Coleman, Mary Czerwinski, Brian Houck, Ginger Hudson, Shamsi Iqbal, Chandra Maddila, Kate Nowak, Emily Peloquin, Ricardo Reyna Fernandez, Sean Rintel, Abigail Sellen, Tiffany Smith, Margaret-Anne Storey, Siddharth Suri, Hana Wolf, Longqi Yang
MSR-TR-2021-1 | January 2021
Published by Microsoft
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
Published by Microsoft
Publication Video Video Video Video Video Video Project Project Project Project
The Activity Platform
Helen Wang, Alexander Moshchuk, Michael Gamon, Mona Haraty, Shamsi Iqbal, Eli T. Brown, Ashish Kapoor, Chris Meek, Eric Chen, Yuan Tian, Jaime Teevan, Mary Czerwinski, Susan Dumais
USENIX 15th Workshop on Hot Topics in Operating Systems (HotOS XV) | May 2015
The Cost of Asking Crowd Workers to Behave Maliciously
Walter. S. Lasecki, Jaime Teevan, Ece Kamar
In Proceedings of the Workshop on Human-Agent Interaction Design and Models (HAIDM 2015) at AAMAS 2015 | February 2015
Preserving Privacy in Crowd-Powered Systems
Walter S. Lasecki, Mitchell Gordon, Jaime Teevan, Ece Kamar, Jeff P. Bigham
In Proceedings of the Workshop on Human-Agent Interaction Design and Models (HAIDM 2015) at AAMAS 2015 | January 2015
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
Published by Microsoft
Publication Video Video Video Video Video Video Project Project Project Project
The effects of remote work on collaboration among information workers
Longqi Yang, David Holtz, Sonia Jaffe, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Parikh Shah, Kevin Sherman, Brent Hecht, Jaime Teevan
Nature Human Behaviour | September 2021
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Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
Published by Microsoft
Publication Video Video Video Video Video Video Project Project Project Project
The New Future of Work: Research from Microsoft into the Pandemic’s Impact on Work Practices
Jaime Teevan, Brent Hecht, Sonia Jaffe, Nancy Baym, Rachel Bergmann, Matt Brodsky, Bill Buxton, Jenna Butler, Adam Coleman, Mary Czerwinski, Brian Houck, Ginger Hudson, Shamsi Iqbal, Chandra Maddila, Kate Nowak, Emily Peloquin, Ricardo Reyna Fernandez, Sean Rintel, Abigail Sellen, Tiffany Smith, Margaret-Anne Storey, Siddharth Suri, Hana Wolf, Longqi Yang
MSR-TR-2021-1 | January 2021
Published by Microsoft
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Learning to Represent Human Motives for Goal-directed Web Browsing
Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahar Sarrafzadeh, Brent Hecht, Jaime Teevan
15th ACM Conference on Recommender Systems | August 2021
Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence
Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop
Justin Cranshaw, Emad Elwany, Todd Newman, Rafal Kocielnik, Bowen Yu, Sandeep Soni, Jaime Teevan, Andrés Monroy-Hernández
ACM CHI Conference on Human Factors in Computing Systems | January 2017
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The New Future of Work: Research from Microsoft into the Pandemic’s Impact on Work Practices
Jaime Teevan, Brent Hecht, Sonia Jaffe, Nancy Baym, Rachel Bergmann, Matt Brodsky, Bill Buxton, Jenna Butler, Adam Coleman, Mary Czerwinski, Brian Houck, Ginger Hudson, Shamsi Iqbal, Chandra Maddila, Kate Nowak, Emily Peloquin, Ricardo Reyna Fernandez, Sean Rintel, Abigail Sellen, Tiffany Smith, Margaret-Anne Storey, Siddharth Suri, Hana Wolf, Longqi Yang
MSR-TR-2021-1 | January 2021
Published by Microsoft
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Facebook Use and Disordered Eating in College-Aged Women
Morgan Walker, Laura Thornton, Munmun De Choudhury, Jaime Teevan, Cynthia M. Bulik, Cheri A. Levinson, Stephanie Zerwas
Journal of Adolescent Health (JAH) | August 2015
Publications by Type
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Generative AI in Real-World Workplaces
Sonia Jaffe, Neha Parikh Shah, Jenna Butler, Alex Farach, Alexia Cambon, Brent Hecht, Michael Schwarz, Jaime Teevan
MSR-TR-2024-29 | July 2024
Published by Microsoft
Microsoft New Future of Work Report 2023
Jenna Butler, Sonia Jaffe, Nancy Baym, Mary Czerwinski, Shamsi Iqbal, Kate Nowak, Sean Rintel, Abigail Sellen, Mihaela Vorvoreanu, Najeeb G. Abdulhamid, Judith Amores, Reid Andersen, Kagonya Awori, Maxamed Axmed, danah boyd, James Brand, Georg Buscher, Dean Carignan, Martin Chan, Adam Coleman, Scott Counts, Madeleine Daepp, Adam Fourney, Daniel G. Goldstein, Andy Gordon, Aaron L Halfaker, Javier Hernandez, Jake Hofman, Jenny Lay-Flurrie, Vera Liao, Siân Lindley, Sathish Manivannan, Charlton Mcilwain, Subigya Nepal, Jennifer Neville, Stephanie Nyairo, Jacki O'Neill, Victor Poznanski, Gonzalo Ramos, Nagu Rangan, Lacey Rosedale, David Rothschild, Tara Safavi, Advait Sarkar, Ava Scott, Chirag Shah, Neha Parikh Shah, Teny Shapiro, Ryland Shaw, Auste Simkute, Jina Suh, Siddharth Suri, Ioana Tanase, Lev Tankelevitch, Adam Troy, Mengting Wan, Ryen W. White, Longqi Yang, Brent Hecht, Jaime Teevan
MSR-TR-2023-34 | December 2023
Published by Microsoft
Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity
Alexia Cambon, Brent Hecht, Benjamin Edelman, Donald Ngwe, Sonia Jaffe, Amy Heger, Mihaela Vorvoreanu, Sida Peng, Jake Hofman, Alex Farach, Margarita Bermejo-Cano, Eric Knudsen, James Bono, Hardik Sanghavi, Sofia Spatharioti, David Rothschild, Daniel G. Goldstein, Eirini Kalliamvakou, Peter Cihon, Mert Demirer, Michael Schwarz, Jaime Teevan
MSR-TR-2023-43 | December 2023
Published by Microsoft
Microsoft New Future of Work Report 2022
Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan
MSR-TR-2022-3 | May 2022
Published by Microsoft
Publication Video Video Video Video Video Video Project Project Project Project
The New Future of Work: Research from Microsoft into the Pandemic’s Impact on Work Practices
Jaime Teevan, Brent Hecht, Sonia Jaffe, Nancy Baym, Rachel Bergmann, Matt Brodsky, Bill Buxton, Jenna Butler, Adam Coleman, Mary Czerwinski, Brian Houck, Ginger Hudson, Shamsi Iqbal, Chandra Maddila, Kate Nowak, Emily Peloquin, Ricardo Reyna Fernandez, Sean Rintel, Abigail Sellen, Tiffany Smith, Margaret-Anne Storey, Siddharth Suri, Hana Wolf, Longqi Yang
MSR-TR-2021-1 | January 2021
Published by Microsoft
An Introduction to Technological Support for Writing
Nick Greer, Jaime Teevan, Shamsi Iqbal
MSR-TR-2016-1 | April 2016
Large Scale Log Analysis of Individuals’ Domain Preferences in Web Search
Sarah K. Tyler, Jaime Teevan, Peter Bailey, Sebastian de la Chica, Nikhil Dandekar
MSR-TR-2015-048 | June 2015
“Does Anyone Know How to Get Good Answers?” How Social Network Questions Shape Replies
Jaime Teevan, Meredith Ringel Morris, Katrina Panovich
MSR-TR-2013-62 | June 2013
How People Re-find Information When the Web Changes
AI-Memo-2004-012 | June 2004
Surviving the Information Explosion: How People Find Their Electronic Information
Christine Alvarado, Jaime Teevan, Mark S. Ackerman
AIM-2003-006 | April 2003
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Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
Ying-Chun Lin, Jennifer Neville, Jack W. Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, Saurabh Tiwary, Brent Hecht, Jaime Teevan
March 2024
Remote Work and Well-being
Shamsi Iqbal, Jina Suh, Mary Czerwinski, Gloria Mark, Jaime Teevan
August 2020
How Work From Home Affects Collaboration: A Large-Scale Study of Information Workers in a Natural Experiment During COVID-19.
Longqi Yang, Sonia Jaffe, David Holtz, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Shah, Kevin Sherman, Chia-Jung Lee, Brent Hecht, Jaime Teevan
July 2020
Design of Large Scale Log Analysis Studies
Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, Jaime Teevan
February 2010
HCIC 2010
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Displaying Dynamic Information
Proceedings of ACM Conference on Human Factors in Computing Systems (CHI 2001), Seattle, WA | April 2001
Learning Causal Effects on Hypergraphs
Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht, Jaime Teevan
2022 SIGKDD Conference on Knowledge Discovery and Data Mining | August 2022
KDD Best Paper Award 2022
Keynote: Searching for a New and Better Future of Work
2022 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2022
“I Didn’t Know I Looked Angry”: Characterizing Observed Emotion and Reported Affect at Work
Harmanpreet Kaur, Daniel McDuff, Alex C. Williams, Jaime Teevan, Shamsi Iqbal
CHI 2022 | April 2022
Learning to Represent Human Motives for Goal-directed Web Browsing
Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahar Sarrafzadeh, Brent Hecht, Jaime Teevan
15th ACM Conference on Recommender Systems | August 2021
Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources
Amanda Swearngin, Shamsi Iqbal, Victor Poznanski, Mark Encarnación, Paul Bennett, Jaime Teevan
ACM CHI 2021 | May 2021
Honorable Mention
Large Scale Analysis of Multitasking Behavior During Remote Meetings
Hancheng Cao, Chia-Jung Lee, Shamsi Iqbal, Mary Czerwinski, Priscilla Wong, Sean Rintel, Brent Hecht, Jaime Teevan, Longqi Yang
CHI 2021 | May 2021
Honorable Mention
Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work
Harmanpreet Kaur, Alex C. Williams, Daniel McDuff, Mary Czerwinski, Jaime Teevan, Shamsi Iqbal
ACM Conference on Human Factors in Computing Systems (CHI) | April 2020
Mercury: Empowering Programmers’ Mobile Work Practices with Microproductivity
Alex Williams, Harmanpreet Kaur, Shamsi Iqbal, Ryen W. White, Jaime Teevan, Adam Fourney
UIST 2019 | October 2019
Casual Microtasking: Embedding Microtasks in Facebook
Nathan Hahn, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence
Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
An Exploration of Speech-Based Productivity Support in the Car
Nikolas Martelaro, Shamsi Iqbal, Jaime Teevan
CHI 2019 | May 2019
Guidelines for Human-AI Interaction
Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besmira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, Eric Horvitz
CHI 2019 | May 2019
CHI 2019 Honorable Mention Award
Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning
Harmanpreet Kaur, Alex Williams, Anne Loomis Thompson, Walter Lasecki, Shamsi Iqbal, Jaime Teevan
Computer-Supported Cooperative Work (CSCW) | November 2018
Multitasking with Play Write, a Mobile Microproductivity Tool
Shamsi Iqbal, Jaime Teevan, Dan Liebling, Anne Loomis Thompson
UIST 2018 | October 2018
Supporting Workplace Detachment and Reattachment with Conversational Intelligence
Alex Williams, Harmanpreet Kaur, Gloria Mark, Anne Loomis Thompson, Shamsi Iqbal, Jaime Teevan
2018 ACM Conference on Human Factors in Computing Systems (CHI '18) | April 2018
Meeting Scheduling Assistance with Structured Workflows
Justin Cranshaw, Emad Elwany, Todd Newman, Rafal Kocielnik, Bowen Yu, Sandeep Soni, Jaime Teevan, Andres Monroy-Hernandez
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2017), Denver, CO | May 2017
Communicating Context to the Crowd for Complex Writing Tasks
Niloufar Salehi, Jaime Teevan, Shamsi Iqbal, Ece Kamar
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work (CSCW 2017), Portland, OR | February 2017
Honorable Mention
Characterizing Cross-Domain Search Behavior
Rishabh Mehrotra, Paul N. Bennett, Susan Dumais, Jaime Teevan
Proceedings of the Second Workshop on Heterogeneous Information Access at SIGIR 2016 (HIA'16) | July 2016
Explicit In Situ User Feedback for Web Search Results
Jin Young Kim, Jaime Teevan, Nick Craswell
Proceedings of the 39th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, Italy | June 2016
The Web Is Flat: The Inflation of Uncommon Experiences Online
Danae Metaxa-Kakavouli, Gili Rusak, Jaime Teevan, Michael S. Bernstein
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2016) San Jose, CA, May 2016 (Late Breaking Work) | May 2016
Best Paper
Chain Reactions: The Impact of Order on Microtask Chains
Carrie J. Cai, Shamsi Iqbal, Jaime Teevan
CHI 2016 | May 2016
Selfsourced Writing
Productivity Decomposed: Getting Big Things Done with Little Microtasks, a workshop at CHI 2016 | May 2016
WearWrite: Crowd-Assisted Writing from Smartwatches
Michael Nebeling, Alexandra To, Anhong Guo, Adrian A. de Freitas, Jaime Teevan, Steven P. Dow, Jeffrey P. Bigham
CHI 2016 | May 2016
Supporting Collaborative Writing with Microtasks
Jaime Teevan, Shamsi Iqbal, Curtis von Veh
CHI 2016 | May 2016
Productivity Decomposed: Getting Big Things Done with Little Microtasks
Jaime Teevan, Jeffrey P. Bigham, Shamsi Iqbal, Michael S. Bernstein, Carrie J. Cai, Elizabeth M. Gerber
A workshop at the ACM Conference on Human Factors in Computing Systems (CHI 2016), San Jose, CA | May 2016
WearWrite: Orchestrating the Crowd to Complete Complex Tasks from Wearables
Michael Nebeling, Anhong Guo, Alexandra To, Steven Dow, Jaime Teevan, Jeffrey Bigham
Proceedings of the 28th ACM User Interface Software and Technology Symposium (UIST 2015), Charlotte, NC | November 2015
OMG UR Funny! Computer-Aided Humor with an Application to Chat
Miaomiao Wen, Nancy Baym, Omer Tamuz, Jaime Teevan, Susan Dumais, Adam Tauman Kalai
ICCC 2015 | October 2015
Crowdsourcing in the Field: A Case Study Using Local Crowds for Event Reporting
Elena Agapie, Jaime Teevan, Andrés Monroy-Hernández
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing (HCOMP-15) | August 2015
Best Paper Award
Matching and Grokking: Approaches to Personalized Crowdsourcing
Adam Tauman Kalai, Susan Dumais, Jaime Teevan
International Joint Conferences on Artificial Intelligence (IJCAI 2015) | July 2015
Best Papers From Sister Conferences Track
The Activity Platform
Helen Wang, Alexander Moshchuk, Michael Gamon, Mona Haraty, Shamsi Iqbal, Eli T. Brown, Ashish Kapoor, Chris Meek, Eric Chen, Yuan Tian, Jaime Teevan, Mary Czerwinski, Susan Dumais
USENIX 15th Workshop on Hot Topics in Operating Systems (HotOS XV) | May 2015
Break It Down: A Comparison of Macro- and Microtasks
Justin Cheng, Jaime Teevan, Shamsi Iqbal, Michael S. Bernstein
ACM Conference on Human Factors for Computing Systems (CHI) | April 2015
“For Telling” the Present: Using the Delphi Method to Understand Personal Information Management Practices
William Jones, Robert Capra, Anne Diekema, Jaime Teevan, Manuel Pérez-Quiñones, Jesse David Dinneen, Bradley Hemminger
CHI 2015 | April 2015
Measuring Crowdsourcing Effort with Error-Time Curves
Justin Cheng, Jaime Teevan, Michael S. Bernstein
CHI 2015 | April 2015
Best Paper Honorable Mention
Blue Ribbon Panel Consensus Report on Better Practices of Personal Information Management
March 2015
The Cost of Asking Crowd Workers to Behave Maliciously
Walter. S. Lasecki, Jaime Teevan, Ece Kamar
In Proceedings of the Workshop on Human-Agent Interaction Design and Models (HAIDM 2015) at AAMAS 2015 | February 2015
Preserving Privacy in Crowd-Powered Systems
Walter S. Lasecki, Mitchell Gordon, Jaime Teevan, Ece Kamar, Jeff P. Bigham
In Proceedings of the Workshop on Human-Agent Interaction Design and Models (HAIDM 2015) at AAMAS 2015 | January 2015
A Crowd of Your Own: Crowdsourcing for On-Demand Personalization
Peter Organisciak, Jaime Teevan, Susan Dumais, Robert C. Miller, Adam Tauman Kalai
HCOMP 2014 | November 2014
Notable Paper
CiteSight: Supporting Contextual Citation Recommendation Using Differential Search
Avishay Livne, Vivek Gokuladas, Jaime Teevan, Susan Dumais, Eytan Adar
SIGIR 2014 | July 2014
Characterizing Multi-Click Search Behavior and the Risks and Opportunities of Changing Results during Use
Chia-Jung Lee, Jaime Teevan, Sebastian de la Chica
SIGIR 2014 | July 2014
Mobile Support for Face-to-Face Social Interaction
Jaime Teevan, Meredith Ringel Morris, Scott Saponas
2014 Human-Computer Interaction Consortium Workshop (HCIC) | June 2014
Selfsourcing Personal Tasks
Dan Liebling, Jaime Teevan, Walter S. Lasecki
Proceedings of CHI 2014 | April 2014
Selfsourcing Personal Tasks
Jaime Teevan, Dan Liebling, Walter S. Lasecki
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2014) Toronto, Canada | April 2014
Lessons from the Journey: A Query Log Analysis of Within-Session Learning
Carsten Eickhoff, Jaime Teevan, Ryen W. White, Susan Dumais
WSDM 2014 | February 2014
Information Extraction and Manipulation Threats in Crowd-Powered Systems
Walter S. Lasecki, Jaime Teevan, Ece Kamar
CSCW 2014 | February 2014
To Search or to Ask: The Routing of Information Needs Between Traditional Search Engines and Social Networks
Anne Oeldorf-Hirsch, Brent Hecht, Meredith Ringel Morris, Jaime Teevan, Darren Gergle
Proceedings of CSCW 2014 | February 2014
Using Physical Signaling to Support Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris, Shiri Azenkot
Extended Abstracts of CSCW 2014 | February 2014
Personalized Human Computation
Peter Organisciak, Jaime Teevan, Susan Dumais, Robert C. Miller, Adam Tauman Kalai
Proceedings of HComp 2013 | November 2013
Crowdsourcing for Robustness in Web Search
Yubin Kim, Kevyn Collins-Thompson, Jaime Teevan
Proceedings of NIST Special Publication: The Twenty-Second Text REtrieval Conference (TREC 2013), Gaithersburg, Maryland | November 2013
Slow Search: Information Retrieval without Time Constraints
Jaime Teevan, Kevyn Collins-Thompson, Ryen W. White, Susan Dumais, Yubin Kim
Proceedings of HCIR 2013 | October 2013
Understanding How People Interact with Web Search Results that Change in Real-Time Using Implicit Feedback
Jin Young Kim, Mark Cramer, Jaime Teevan, Dmitry Lagun
CIKM 2013 | October 2013
Smartphone Use Does Not Have to Be Rude: Making Phones a Collaborative Presence in Meetings
Matthias Böhmer, Scott Saponas, Jaime Teevan
August 2013
Towards Supporting Search over Trending Events with Social Media
Sanjay Kairam, Meredith Ringel Morris, Jaime Teevan, Dan Liebling, Susan Dumais
Proceedings of ICWSM 2013 | July 2013
Best Paper Honorable Mention
A Crowd-Powered Socially Embedded Search Engine
Jin-Woo Jeong, Meredith Ringel Morris, Jaime Teevan, Dan Liebling
Proceedings of ICWSM 2013 | July 2013
Clarifications and Question Specificity in Synchronous Social Q&A
Makoto Kato, Ryen W. White, Jaime Teevan, Susan Dumais
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2013) | April 2013
Benevolent Deception in Human Computer Interaction
Eytan Adar, Desney Tan, Jaime Teevan
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2013) | April 2013
Predicting Citation Counts Using Text and Graph Mining
Avishay Livne, Eytan Adar, Jaime Teevan, Susan Dumais
iConference 2013, Workshop on Computational Scientometrics: Theory and Application | February 2013
Understanding How the Projection of Availability State Impacts the Reception of Incoming Communication
Jaime Teevan, Alexander Hehmeyer
Proceedings of the 2013 ACM Conference on Computer Supported Cooperative Work (CSCW '13) | February 2013
Displaying Mobile Feedback During a Presentation
Jaime Teevan, Dan Liebling, Ann Paradiso, Carlos Garcia Jurado Suarez, Curtis von Veh, Darren Gehring
Proc. MobileHCI 2012 | September 2012
Creating Temporally Dynamic Web Search Snippets
Krysta M. Svore, Jaime Teevan, Susan Dumais, Anagha Kulkarni
Proceedings of SIGIR'12, Portland, Oregon, USA | August 2012
SearchBuddies: Bringing Search Engines into the Conversation
Brent Hecht, Jaime Teevan, Meredith Ringel Morris, Dan Liebling
Proc. ICWSM 2012 | June 2012
Exploring the Complementary Roles of Social Networks and Search Engines
Meredith Ringel Morris, Jaime Teevan
2012 Human-Computer Interaction Consortium Workshop (HCIC), Asilomar, CA | June 2012
Direct Answers for Search Queries in the Long Tail
Michael S. Bernstein, Jaime Teevan, Susan Dumais, Dan Liebling, Eric Horvitz
Proc. CHI 2012 | May 2012
Best Paper, Honorable Mention
Trajectory-Aware Mobile Search
John Krumm, Jaime Teevan, Amy Karlson, A.J. Brush
CHI 2012 | May 2012
Modeling and Predicting Behavioral Dynamics on the Web
Kira Radinsky, Krysta M. Svore, Susan Dumais, Jaime Teevan, Alex Bocharov, Eric Horvitz
Proceedings of the 21st International World Wide Web (WWW) Conference | April 2012
To appear.
The Search Dashboard: How Reflection and Comparison Impact Search Behavior
Scott Bateman, Jaime Teevan, Ryen W. White
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '12). | January 2012
Understanding the Importance of Location, Time, and People in Mobile Local Search Behavior
Jaime Teevan, Amy Karlson, Shahriyar Amini, A.J. Brush, John Krumm
Mobile HCI 2011 | September 2011
Modeling and Analyses of Multi-Session Search Tasks
Alexander Kotov, Paul Bennett, Ryen W. White, Susan Dumais, Jaime Teevan
SIGIR'11, Beijing, China | July 2011
Modeling and Analysis of Cross-Session Search Tasks
Alexander Kotov, Paul Bennett, Ryen W. White, Susan Dumais, Jaime Teevan
Proceedings of SIGIR 2011 | July 2011
Design and Analysis of Large Scale Log Studies
Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, Jaime Teevan
CHI 2011 (Course) | May 2011
Understanding and Predicting Personal Navigation
Jaime Teevan, Dan Liebling, Gayathri Ravichandran Geetha
Proc. WSDM 2011 | February 2011
Understanding Temporal Query Dynamics
Anagha Kulkarni, Jaime Teevan, Krysta M. Svore, Susan Dumais
Web Search and Data Mining (WSDM) 2011 | February 2011
Culture Matters: A Survey Study of Social Q&A Behavior
Jiang Yang, Meredith Ringel Morris, Jaime Teevan, Lada A. Adamic, Mark S. Ackerman
Proceedings of ICWSM 2011 | January 2011
Addressing Information Needs Directly in the Search Result Page
Lydia B. Chilton, Jaime Teevan
Proceedings of WWW 2011 | January 2011
#TwitterSearch: A Comparison of Microblog Search and Web Search
Jaime Teevan, Daniel Ramage, Meredith Ringel Morris
Proceedings of WSDM 2011 | January 2011
Factors Affecting Response Quantity, Quality and Speed in Questions Asked via Online Social Networks
Jaime Teevan, Meredith Ringel Morris, Katrina Panovich
Proceedings of ICWSM 2011 | January 2011
A Longitudinal Study of How Highlighting Web Content Change Affects People’s Web Interactions
Jaime Teevan, Susan Dumais, Dan Liebling
Proc. 2010 ACM Conf. on Human Factors in Computing Systems (CHI 2010) | April 2010
Large Scale Query Log Analysis of Re-Finding
Sarah K. Tyler, Jaime Teevan
Proceedings of WSDM 2010 | January 2010
A Comparison of Information Seeking Using Search Engines and Social Networks
Meredith Ringel Morris, Jaime Teevan, Katrina Panovich
Proceedings of ICWSM 2010 | January 2010
What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior
Meredith Ringel Morris, Jaime Teevan, Katrina Panovich
Proceedings of CHI 2010 | January 2010
Discovery Is Never by Chance: Designing for (Un)Serendipity
Paul André, m.c. schraefel, Jaime Teevan, Susan Dumais
Proc. Creativity & Cognition 2009 | October 2009
Changing How People View Changes on the Web
Jaime Teevan, Susan Dumais, Dan Liebling, Richard Hughes
Proceedings UIST '09, Victoria, BC, Canada | October 2009
Resonance on the Web: Web Dynamics and Revisitation Patterns
Eytan Adar, Jaime Teevan, Susan Dumais
Proceedings of CHI 2009 | April 2009
Visual Snippets: Summarizing Web Pages for Search and Revisitation
Jaime Teevan, Ed Cutrell, Danyel Fisher, Steven Drucker, Gonzalo Ramos, Paul Andre, Chang Hu
Proceedings of CHI 2009 | April 2009
From X-Rays to Silly Putty via Uranus: Serendipity and its Role in Web Search
Paul Andre, Jaime Teevan, Susan Dumais
Proceedings of CHI 2009 | April 2009
Characterizing the Influence of Domain Expertise on Web Search Behavior
Ryen W. White, Susan Dumais, Jaime Teevan
Proceedings of Web Search and Data Mining (WSDM) 2009 | February 2009
The Web Changes Everything: Understanding the Dynamics of Web Content
Eytan Adar, Jaime Teevan, Susan Dumais, Jonathan L. Elsas
Proceedings of Web Search and Data Mining (WSDM) 2009 | February 2009
Discovering and Using Groups to Improve Personalized Search
Jaime Teevan, Meredith Ringel Morris, Steve Bush
Proceedings of Web Search and Data Mining (WSDM) 2009 | February 2009
Enhancing Collaborative Web Search with Personalization: Groupization, Smart Splitting, and Group Hit-Highlighting
Meredith Ringel Morris, Jaime Teevan, Steve Bush
Proceedings of CSCW 2008 | November 2008
Challenges for Supporting Faceted Search in Large, Heterogeneous Corpora like the Web
Jaime Teevan, Susan Dumais, Zachary Gutt
HCIR 2008 | October 2008
To Personalize or Not to Personalize: Modeling Queries with Variation in User Intent
Jaime Teevan, Susan Dumais, Dan Liebling
Proceedings of SIGIR 2008 | July 2008
Understanding Groups’ Properties as a Means of Improving Collaborative Search Systems
Meredith Ringel Morris, Jaime Teevan
JCDL 2008 Workshop on Collaborative Information Retrieval | June 2008
Large Scale Analysis of Web Revisitation Patterns
Eytan Adar, Jaime Teevan, Susan Dumais
Proceedings of CHI 2008 | April 2008
How Medical Expertise Influences Web Search Interaction
Ryen W. White, Susan Dumais, Jaime Teevan
SIGIR 2008 (poster) | March 2008
The Re:Search Engine: Simultaneous Support for Finding and Re-Finding
Proceedings of UIST | October 2007
“Where’d it Go?”: How People Ask After Lost Web Information
Proceedings of ASIST | October 2007
Information Re-Retrieval: Repeat Queries in Yahoo’s Logs
Jaime Teevan, Eytan Adar, Rosie Jones, Michael Potts
Proceedings of the 30th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR 2007), Amsterdam, The Netherlands | June 2007
ISBN: 978-1-59593-597-7
Characterizing the Value of Personalizing Search
Jaime Teevan, Susan Dumais, Eric Horvitz
Proceedings of the 30th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR 2007), Amsterdam, The Netherlands | June 2007
ISBN: 978-1-59593-597-7
History Repeats Itself: Repeat Queries in Yahoo’s Logs
Jaime Teevan, Eytan Adar, Rosie Jones, Michael Potts
Proceedings of the 29th Annual ACM Conference on Research and Development in Information Retrieval (SIGIR 2006), Seattle, WA | August 2006
ISBN: 1-59593-369-7
How People Recall Search Result Lists
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2006), Montreal, Canada | April 2006
Personalizing Search via Automated Analysis of Interests and Activities
Jaime Teevan, Susan Dumais, Eric Horvitz
Proceedings of SIGIR 2005 | August 2005
Beyond the Commons: Investigating the Value of Personalizing Web Search
Jaime Teevan, Susan Dumais, Eric Horvitz
Proceedings PIA 2005: Workshop on New Technologies for Personalized Information Access | July 2005
The Perfect Search Engine Is Not Enough: A Study of Orienteering Behavior in Directed Search
Jaime Teevan, Christine Alvarado, Mark S. Ackerman, David R. Karger
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2004), Vienna, Austria | April 2004
Tackling the Poor Assumptions of Naive Bayes Text Classifiers
Jason D. M. Rennie, Lawrence Shih, Jaime Teevan, David R. Karger
Proceedings of the Twentieth International Conference on Machine Learning (ICML 2003), Washington, D.C. | September 2003
Empirical Development of an Exponential Probabilistic Model for Text Retrieval: Using Textual Analysis to Build a Better Model
Jaime Teevan, David R. Karger
Proceedings of the 26th Annual ACM Conference on Research and Development in Information Retrieval, Toronto, Canada | May 2003
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The effects of remote work on collaboration among information workers
Longqi Yang, David Holtz, Sonia Jaffe, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Parikh Shah, Kevin Sherman, Brent Hecht, Jaime Teevan
Nature Human Behaviour | September 2021
Design and In-Situ Evaluation of a Mixed-Initiative Approach to Information Organization
Mona Haraty, Zhongyuan Wang, Helen Wang, Shamsi Iqbal, Jaime Teevan
Journal of the Association for Information Science and Technology (JASIST) | January 2017
Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop
Justin Cranshaw, Emad Elwany, Todd Newman, Rafal Kocielnik, Bowen Yu, Sandeep Soni, Jaime Teevan, Andrés Monroy-Hernández
ACM CHI Conference on Human Factors in Computing Systems | January 2017
The Future of Microwork
XRDS | November 2016, Vol 23(2)
Facebook Use and Disordered Eating in College-Aged Women
Morgan Walker, Laura Thornton, Munmun De Choudhury, Jaime Teevan, Cynthia M. Bulik, Cheri A. Levinson, Stephanie Zerwas
Journal of Adolescent Health (JAH) | August 2015
WearWrite: Orchestrating the Crowd to Complete Complex Tasks from Wearables (We Wrote This Paper on a Watch)
Michael Nebeling, Anhong Guo, Kyle Murray, Annika Tostengard, Angelos Giannopoulos, Martin Mihajlov, Steven Dow, Jaime Teevan, Jeffrey P. Bigham
June 2015
Viewpoint: Slow Search
Jaime Teevan, Kevyn Collins-Thompson, Ryen W. White, Susan Dumais
Communications of the ACM | August 2014, Vol 57(8)
Slow Search
Jaime Teevan, Kevyn Collins-Thompson, Ryen W. White, Susan Dumais
Communications of the ACM | August 2014, Vol 57: pp. 36-38
Supporting Interpersonal Interaction during Collaborative Mobile Search
Jaime Teevan, Meredith Ringel Morris
IEEE Computer | March 2014, Vol 47(3): pp. 54-57
Family Friendly Conferences
ACM-W Connections | January 2014
Behavioral Dynamics on the Web: Learning, Modeling, and Prediction
Kira Radinsky, Krysta M. Svore, Susan Dumais, Milad Shokouhi, Jaime Teevan, Alex Bocharov, Eric Horvitz
ACM Transactions on Information Systems | July 2013, Vol 31(3)
Notable Computing Books and Articles of 2013
Potential for Personalization
Jaime Teevan, Susan Dumais, Eric Horvitz
ACM Transactions on Computer-Human Interaction | March 2010, Vol 4: pp. 31
Using the Crowd to Improve Search Result Ranking and the Search Experience
Yubin Kim, Kevyn Collins-Thompson, Jaime Teevan
ACM Transactions on Intelligent Systems and Technology (TIST) | March 2010
How People Recall, Recognize and Reuse Search Results
ACM Transactions on Information Systems (TOIS) | September 2008
Personal Information Management
Seattle: University of Washington Press | July 2007
Searching to Eliminate Personal Information Management
Ed Cutrell, Susan Dumais, Jaime Teevan
Communications of the ACM (CACM) | January 2006, Vol 49(1): pp. 58-64
Implicit Feedback for Inferring User Preference: A Bibliography
Diane Kelly, Jaime Teevan
SIGIR Forum | August 2003, Vol 37(2)
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Understanding User Behavior Through Log Data and Analysis
Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, Jaime Teevan
Ways of Knowing in HCI
Published by Springer | March 2014
ISBN: 978-1-4939-0378-8
Web Retrieval, Ranking and Personalization
Jaime Teevan, Susan Dumais, Ryen W. White
Interactive Information Seeking and Retrieval
July 2011
Collaborative Web Search: Who, What, Where, When, and Why?
Meredith Ringel Morris, Jaime Teevan
Published by Morgan & Claypool | January 2010
ISBN: 1608451216