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Matthew L. Lee
Person information
- affiliation: Toyota Research Institute, USA
- affiliation (former): FX Palo Alto Laboratory, CA, USA
- affiliation (former): Philips Research North America, USA
- affiliation (PhD 2012): Carnegie Mellon University, Pittsburgh, PA, USA
Other persons with the same name
- Matthew Lee — disambiguation page
- Matthew Lee 0001 — Mississippi State University, Starkville, MS, USA
- Matthew Lee 0002 — Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, USA
- Matthew Lee 0003 — Carnegie Mellon University, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA
- Matthew Lee 0004
— INSEAD, Strategy Unit, Singapore
- Matthew K. O. Lee
- Matthew Lee 0007 — Simon Fraser University, School of Mechatronic Systems Engineering, Surrey, BC, Canada
- Matthew Lee 0008 — U.S. Department of Defense, Meade, MD, USA
- Matthew Lee 0009 — Pereg Ventures
- Matthew Lee 0010 — Imperial College London, Biomedical Image Analysis Group, UK
- Matthew Lee 0011 — Machine Learning Team, Augmented Intelligence, Gold Coast, Australia
- Matthew Lee 0012 — SIL International, Dallas, TX, USA
- Matthew Lee 0013 — University College London, UK
- Matthew Lee 0014 — Western Washington University, Bellingham, WA, United States
- Matthew Lee 0015 — Griffith University, School of Information Communication Technology, Brisbane, Australia
- Matthew Lee 0016 — University of Pennsylvania, Philadelphia, PA, USA
- Matthew Lee 0017 — Southern Methodist University, Dallas, TX, USA
- Matthew Lee 0018 — Penn State University, Department of Medicine, Philadelphia, PA, USA
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2020 – today
- 2024
- [c26]Tatiana Lau
Democratizing Design through Generative AI. Conference on Designing Interactive Systems (Companion Volume) 2024 - [c25]Anindya Das Antar
VIME: Visual Interactive Model Explorer for Identifying Capabilities and Limitations of Machine Learning Models for Sequential Decision-Making. UIST 2024: 59:1-59:21 - 2023
- [c24]Matthew L. Lee
Understanding People's Perception and Usage of Plug-in Electric Hybrids. CHI 2023: 201:1-201:21 - [c23]Anna Kawakami
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. CI 2023: 63-78 - [i4]Anna Kawakami, Luke Guerdan, Yanghuidi Cheng, Matthew L. Lee, Scott A. Carter, Nikos Aréchiga, Kate Glazko, Haiyi Zhu, Kenneth Holstein:
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge. CoRR abs/2308.15700 (2023) - 2022
- [c22]Qiaoning Zhang
You Complete Me: Human-AI Teams and Complementary Expertise. CHI 2022: 114:1-114:28 - [c21]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:
Familiarity plays a unique role in increasing preferences for battery electric vehicle adoption. CogSci 2022 - [c20]David A. Shamma, Matthew L. Lee, Alexandre L. S. Filipowicz, Laurent Denoue, Kate Glazko, Kalani Murakami, Kent Lyons:
EV Life: A Counterfactual Dashboard Towards Reducing Carbon Emissions of Automotive Behaviors. IUI Companion 2022: 46-49 - [i3]Anna Kawakami, Luke Guerdan, Yang Cheng, Anita Sun, Alison Hu, Kate Glazko, Nikos Aréchiga, Matthew L. Lee, Scott A. Carter, Haiyi Zhu, Kenneth Holstein:
Towards a Learner-Centered Explainable AI: Lessons from the learning sciences. CoRR abs/2212.05588 (2022) - 2020
- [c19]Daniel Avrahami, Kristin Williams, Matthew L. Lee, Nami Tokunaga, Yulius Tjahjadi, Jennifer Marlow:
Celebrating Everyday Success: Improving Engagement and Motivation using a System for Recording Daily Highlights. CHI 2020: 1-13 - [i2]Matthew L. Lee:
Detecting Affective Flow States of Knowledge Workers Using Physiological Sensors. CoRR abs/2006.10635 (2020) - [i1]Matthew Lee, Lyndon Kennedy, Andreas Girgensohn, Lynn Wilcox, John Song En Lee, Chin Wen Tan, Ban Leong Sng:
Pain Intensity Estimation from Mobile Video Using 2D and 3D Facial Keypoints. CoRR abs/2006.12246 (2020)
2010 – 2019
- 2019
- [c18]Vincent W. S. Tseng, Matthew L. Lee, Laurent Denoue, Daniel Avrahami:
Overcoming Distractions during Transitions from Break to Work using a Conversational Website-Blocking System. CHI 2019: 467 - [c17]Moritz Einfalt, Rainer Lienhart
Detecting Speech Impairments from Temporal Visual Facial Features of Aphasia Patients. MIPR 2019: 103-108 - [c16]Chidansh Amitkumar Bhatt, Jian Zhao, Hideto Oda, Francine Chen, Matthew Lee:
OPaPi: Optimized Parts Pick-up routing for efficient manufacturing. HILDA@SIGMOD 2019: 5:1-5:8 - 2018
- [c15]Pernilla Qvarfordt, Matthew Lee:
Gaze patterns during remote presentations while listening and speaking. ETRA 2018: 33:1-33:9 - 2017
- [j3]Heather A. Faucett, Matthew L. Lee, Scott A. Carter:
I Should Listen More: Real-time Sensing and Feedback of Non-Verbal Communication in Video Telehealth. Proc. ACM Hum. Comput. Interact. 1(CSCW): 44:1-44:19 (2017) - [c14]Scott Allen Cambo, Daniel Avrahami, Matthew L. Lee:
BreakSense: Combining Physiological and Location Sensing to Promote Mobility during Work-Breaks. CHI 2017: 3595-3607 - [c13]Britta Meixner, Matthew L. Lee, Scott A. Carter:
Chat2Doc: From Chats to How-to Instructions, FAQ, and Reports. MultiEdTech@MM 2017: 27-30 - [c12]Britta Meixner, Matthew L. Lee, Scott A. Carter:
Managing Family Healthcare with Multimedia Chat Apps: A Survey on What is Missing. MMHealth@MM 2017: 69-72 - 2016
- [c11]Portia E. Singh, Payaal Patel, Matthew L. Lee, Mladen Milosevic:
Understanding informal caregiver needs for coordinating care to support aging in place. PervasiveHealth 2016: 249-252 - 2015
- [j2]Matthew L. Lee, Anind K. Dey:
Sensor-based observations of daily living for aging in place. Pers. Ubiquitous Comput. 19(1): 27-43 (2015) - 2014
- [j1]Matthew L. Lee:
Did I take my meds today? XRDS 21(2): 38-43 (2014) - [c10]Matthew L. Lee, Anind K. Dey:
Real-time feedback for improving medication taking. CHI 2014: 2259-2268 - 2012
- [b1]Matthew L. Lee:
Task-based Embedded Assessment of Functional Abilities for Aging in Place. Carnegie Mellon University, USA, 2012 - 2011
- [c9]Matthew L. Lee, Anind K. Dey:
Reflecting on pills and phone use: supporting awareness of functional abilities for older adults. CHI 2011: 2095-2104 - 2010
- [c8]Matthew L. Lee:
Creating salient summaries of home activity lifelog data. CHI Extended Abstracts 2010: 2919-2922 - [c7]Matthew L. Lee:
Embedded assessment of wellness with smart home sensors. UbiComp (Adjunct Papers) 2010: 473-476 - [c6]Matthew L. Lee, Anind K. Dey:
Embedded assessment of aging adults: A concept validation with stakeholders. PervasiveHealth 2010: 1-8
2000 – 2009
- 2008
- [c5]Matthew L. Lee, Anind K. Dey:
Lifelogging memory appliance for people with episodic memory impairment. UbiComp 2008: 44-53 - [c4]Matthew L. Lee, Anind K. Dey:
Wearable experience capture for episodic memory support. ISWC 2008: 107-108 - 2007
- [c3]Matthew L. Lee, Anind K. Dey:
Providing good memory cues for people with episodic memory impairment. ASSETS 2007: 131-138 - [c2]Cristen Torrey, Moira Burke, Matthew L. Lee, Anind K. Dey, Susan R. Fussell
Connected Giving: Ordinary People Coordinating Disaster Relief on the Internet. HICSS 2007: 179 - 2006
- [c1]Tudor Dumitras, Matthew L. Lee, Pablo Quinones, Asim Smailagic, Daniel P. Siewiorek
Eye of the Beholder: Phone-Based Text-Recognition for the Visually-Impaired. ISWC 2006: 145-146
Coauthor Index
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last updated on 2024-11-20 20:55 CET by the dblp team
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