McDuff, Daniel

DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks

Chen, W., & McDuff, D. (2018) · Lecture Notes in Computer Science

Non-Invasive Vital Sign MonitoringEmotion and Mood Recognition

Cited by 716

Towards accurate differential diagnosis with large language models

McDuff, D., Schaekermann, M., Tu, T., Palepu, A., Wang, A., Garrison, J., Singhal, K., Sharma, Y., Azizi, S., Kulkarni, K., et al. (2025) · Nature

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 311

Towards Accurate Differential Diagnosis with Large Language Models

McDuff, D., Schaekermann, M., Tu, T., Palepu, A., Wang, A., Garrison, J., Singhal, K., Sharma, Y., Azizi, S., Kulkarni, K., et al. (2023) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 311

AffectAura: an intelligent system for emotional memory

McDuff, D., Karlson, A., Kapoor, A., Roseway, A., & Czerwinski, M. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Emotion and Mood RecognitionInnovative Human-Technology Interaction

Cited by 242

The Opportunities and Risks of Large Language Models in Mental Health

Lawrence, H. R., Schneider, R. A., Rubin, S. B., Matarić, M. J., McDuff, D. J., & Jones Bell, M. (2024) · JMIR Mental Health

Digital Mental Health InterventionsArtificial Intelligence in Healthcare and Education

Cited by 235

Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected "In-the-Wild"

McDuff, D., el Kaliouby, R., Senechal, T., Amr, M., Cohn, J. F., & Picard, R. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops

Emotion and Mood RecognitionFace recognition and analysis

Cited by 234

Towards a Science of Scaling Agent Systems

Kim, Y., Gu, K., Park, C., Park, C., Schmidgall, S., Heydari, A. A., Yan, Y., Zhang, Z., Zhuang, Y., Liu, Y., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning

Cited by 197

Designing emotionally sentient agents

McDuff, D., & Czerwinski, M. (2018) · Communications of the ACM

Psychiatry, Mental Health, NeuroscienceEmotion and Mood Recognition

Cited by 132

EMMA: an emotion-aware wellbeing chatbot

Ghandeharioun, A., McDuff, D., Czerwinski, M., & Rowan, K. (2019) · 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)

Digital Mental Health InterventionsEmotion and Mood Recognition

Cited by 126

Capabilities of Gemini Models in Medicine

Saab, K., Tu, T., Weng, W.-H., Tanno, R., Stutz, D., Wulczyn, E., Zhang, F., Strother, T., Park, C., Vedadi, E., et al. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationMultimodal Machine Learning Applications

Cited by 117

COGCAM: Contact-free Measurement of Cognitive Stress During Computer Tasks with a Digital Camera

McDuff, D. J., Hernandez, J., Gontarek, S., & Picard, R. W. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Emotion and Mood RecognitionNon-Invasive Vital Sign Monitoring

Cited by 113

Gemma 4 Technical Report

Gemma Team, Abd, S. E., Aggarwal, V., Algayres, R., Andreev, A., Bachem, O., Ballantyne, I., Brick, C., Cărbune, V., Casbon, M., et al. (2026) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 112

Managing Stress: The Needs of Autistic Adults in Video Calling

Zolyomi, A., Begel, A., Waldern, J. F., Tang, J., Barnett, M., Cutrell, E., McDuff, D., Andrist, S., & Morris, M. R. (2019) · Proceedings of the ACM on Human-Computer Interaction

Digital Accessibility for DisabilitiesInnovative Human-Technology Interaction

Cited by 101

MDAgents: an adaptive collaboration of LLMs for medical decision-making

Kim, Y., Park, C., Jeong, H., Chan, Y., Xu, X., McDuff, D., Lee, H., Ghassemi, M., Breazeal, C., & Park, H. (2024) · Advances in Neural Information Processing Systems 37

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 81

AutoEmotive: bringing empathy to the driving experience to manage stress

Hernandez, J., McDuff, D., Benavides, X., Amores, J., Maes, P., & Picard, R. (2014) · Proceedings of the 2014 companion publication on Designing interactive systems

Emotion and Mood RecognitionHuman-Automation Interaction and Safety

Cited by 79

MeetingCoach: An Intelligent Dashboard for Supporting Effective & Inclusive Meetings

Samrose, S., McDuff, D., Sim, R., Suh, J., Rowan, K., Hernandez, J., Rintel, S., Moynihan, K., & Czerwinski, M. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 72

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

A Meta-Analysis of the Impact of Skin Type and Gender on Non-contact Photoplethysmography Measurements

Nowara, E. M., McDuff, D., & Veeraraghavan, A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Non-Invasive Vital Sign MonitoringBiometric Identification and Security

Cited by 66

Large-Scale Observational Evidence of Cross-Cultural Differences in Facial Behavior

McDuff, D., Girard, J. M., & Kaliouby, R. E. (2017) · Journal of Nonverbal Behavior

Cultural Differences and ValuesEmotion and Mood Recognition

Cited by 60

Behavioral Use Licensing for Responsible AI

Contractor, D., McDuff, D., Haines, J. K., Lee, J., Hines, C., Hecht, B., Vincent, N., & Li, H. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 54

Automatic measurement of ad preferences from facial responses gathered over the Internet

McDuff, D., El Kaliouby, R., Senechal, T., Demirdjian, D., & Picard, R. (2014) · Image and Vision Computing

Emotion and Mood RecognitionFace recognition and analysis

Cited by 52

Lessons Learned in Designing AI for Autistic Adults

Begel, A., Tang, J., Andrist, S., Barnett, M., Carbary, T., Choudhury, P., Cutrell, E., Fung, A., Junuzovic, S., McDuff, D., et al. (2020) · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 34

Medical Hallucinations in Foundation Models and Their Impact on Healthcare

Kim, Y., Jeong, H., Chen, S., Li, S. S., Park, C., Lu, M., Alhamoud, K., Mun, J., Grau, C., Jung, M., et al. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 33

Conversational Error Analysis in Human-Agent Interaction

Aneja, D., McDuff, D., & Czerwinski, M. (2020) · Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 15