Eye of the Beholder: Phone-Based Text-Recognition for the Visually-Impaired. - Tudor Dumitras; Matthew L. Lee; Pablo Quinones; Asim Smailagic; Daniel P. Siewiorek; Priya Narasimhan (ISWC, 2006)

Providing good memory cues for people with episodic memory impairment. - Matthew L. Lee; Anind K. Dey (ASSETS, 2007)

Connected Giving: Ordinary People Coordinating Disaster Relief on the Internet. - Cristen Torrey; Moira Burke; Matthew L. Lee; Anind K. Dey; Susan R. Fussell; Sara B. Kiesler (HICSS, 2007)

Lifelogging memory appliance for people with episodic memory impairment. - Matthew L. Lee; Anind K. Dey (UbiComp, 2008)

Wearable experience capture for episodic memory support. - Matthew L. Lee; Anind K. Dey (ISWC, 2008)

Creating salient summaries of home activity lifelog data. - Matthew L. Lee (CHI Extended Abstracts, 2010)

Embedded assessment of wellness with smart home sensors. - Matthew L. Lee (UbiComp (Adjunct Papers), 2010)

Embedded assessment of aging adults: A concept validation with stakeholders. - Matthew L. Lee; Anind K. Dey (PervasiveHealth, 2010)

Reflecting on pills and phone use: supporting awareness of functional abilities for older adults. - Matthew L. Lee; Anind K. Dey (CHI, 2011)

Task-based Embedded Assessment of Functional Abilities for Aging in Place. - Matthew L. Lee (2012)

Real-time feedback for improving medication taking. - Matthew L. Lee; Anind K. Dey (CHI, 2014)

Did I take my meds today? - Matthew L. Lee (XRDS, 2014)

Sensor-based observations of daily living for aging in place. - Matthew L. Lee; Anind K. Dey (Pers. Ubiquitous Comput., 2015)

Understanding informal caregiver needs for coordinating care to support aging in place. - Portia E. Singh; Payaal Patel; Matthew L. Lee; Mladen Milosevic (PervasiveHealth, 2016)

BreakSense: Combining Physiological and Location Sensing to Promote Mobility during Work-Breaks. - Scott Allen Cambo; Daniel Avrahami; Matthew L. Lee (CHI, 2017)

Managing Family Healthcare with Multimedia Chat Apps: A Survey on What is Missing. - Britta Meixner; Matthew L. Lee; Scott A. Carter (MMHealth@MM, 2017)

Chat2Doc: From Chats to How-to Instructions, FAQ, and Reports. - Britta Meixner; Matthew L. Lee; Scott A. Carter (MultiEdTech@MM, 2017)

I Should Listen More: Real-time Sensing and Feedback of Non-Verbal Communication in Video Telehealth. - Heather A. Faucett; Matthew L. Lee; Scott A. Carter (Proc. ACM Hum. Comput. Interact., 2017)

Gaze patterns during remote presentations while listening and speaking. - Pernilla Qvarfordt; Matthew Lee 006 (ETRA, 2018)

Overcoming Distractions during Transitions from Break to Work using a Conversational Website-Blocking System. - Vincent W. S. Tseng; Matthew L. Lee; Laurent Denoue; Daniel Avrahami (CHI, 2019)

Detecting Speech Impairments from Temporal Visual Facial Features of Aphasia Patients. - Moritz Einfalt; Rainer Lienhart; Matthew Lee 006; Lyndon Kennedy (MIPR, 2019)

OPaPi: Optimized Parts Pick-up routing for efficient manufacturing. - Chidansh Amitkumar Bhatt; Jian Zhao 010; Hideto Oda; Francine Chen 001; Matthew Lee 006 (HILDA@SIGMOD, 2019)

Celebrating Everyday Success: Improving Engagement and Motivation using a System for Recording Daily Highlights. - Daniel Avrahami; Kristin Williams; Matthew L. Lee; Nami Tokunaga; Yulius Tjahjadi; Jennifer Marlow (CHI, 2020)

Detecting Affective Flow States of Knowledge Workers Using Physiological Sensors. - Matthew L. Lee (CoRR, 2020)

Pain Intensity Estimation from Mobile Video Using 2D and 3D Facial Keypoints. - Matthew Lee 006; Lyndon Kennedy; Andreas Girgensohn; Lynn Wilcox; John Song En Lee; Chin Wen Tan; Ban Leong Sng (CoRR, 2020)

You Complete Me: Human-AI Teams and Complementary Expertise. - Qiaoning Zhang; Matthew L. Lee; Scott A. Carter (CHI, 2022)

Familiarity plays a unique role in increasing preferences for battery electric vehicle adoption. - Alexandre L. S. Filipowicz; Charlene C. Wu; Matthew L. Lee; David A. Shamma; Shabnam Hakimi; Scott A. Carter; Rumen Iliev; Totte Harinen; Emily Sumner; Candice Hogan (CogSci, 2022)

EV Life: A Counterfactual Dashboard Towards Reducing Carbon Emissions of Automotive Behaviors. - David A. Shamma; Matthew L. Lee; Alexandre L. S. Filipowicz; Laurent Denoue; Kate Glazko; Kalani Murakami; Kent Lyons (IUI Companion, 2022)

Towards a Learner-Centered Explainable AI: Lessons from the learning sciences. - Anna Kawakami; Luke Guerdan; Yang Cheng; Anita Sun; Alison Hu; Kate Glazko; Nikos Aréchiga; Matthew L. Lee; Scott A. Carter; Haiyi Zhu; Kenneth Holstein (CoRR, 2022)

Understanding People's Perception and Usage of Plug-in Electric Hybrids. - Matthew L. Lee; Scott A. Carter; Rumen Iliev; Nayeli Suseth Bravo; Monica P. Van; Laurent Denoue; Everlyne Kimani; Alexandre L. S. Filipowicz; David A. Shamma; Kate A. Sieck; Candice Hogan; Charlene C. Wu (CHI, 2023)

Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. - Anna Kawakami; Luke Guerdan; Yanghuidi Cheng; Kate Glazko; Matthew L. Lee; Scott A. Carter; Nikos Aréchiga; Haiyi Zhu; Kenneth Holstein (CI, 2023)

Democratizing Design through Generative AI. - Tatiana Lau; Scott A. Carter; Francine Chen 001; Brandon Huynh; Everlyne Kimani; Matthew L. Lee; Kate A. Sieck (Conference on Designing Interactive Systems (Companion Volume), 2024)

VIME: Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Learning Models for Sequential Decision-Making. - Anindya Das Antar; Somayeh Molaei; Yan-Ying Chen; Matthew L. Lee; Nikola Banovic 001 (UIST, 2024)

Learning to Represent Individual Differences for Choice Decision Making. - Yan-Ying Chen; Yue Weng; Alexandre L. S. Filipowicz; Rumen Iliev; Francine Chen 001; Shabnam Hakimi; Yanxia Zhang; Matthew L. Lee; Kent Lyons; Charlene C. Wu (CoRR, 2025)