Studies brain-machine interfaces, brain-machine hybrid intelligence and neuromorphic computing, along with computer vision topics such as face recognition.
Interfaces & interaction techniques
Recognition, detection & segmentation
Accelerators, chips & architecture
2026ActivityForensics: A Comprehensive Benchmark for Localizing Manipulated Activity in VideosCVPR
2026Cost-Efficient Open Vocabulary 3D Scene Understanding Based on Semantic ProbabilityTIP
Leads the Sensing, Interaction & Perception Lab, building wearable and mixed-reality systems that use machine learning on sensor data for interaction and…
Interfaces & interaction techniques
Accessibility, health & wellbeing
Robot perception & SLAM
2026CapFM: A Foundation Model for Capacitive Touch SensingUIST
2026EgoExoMoCap: Distributed Ego-Exo Human Motion CaptureECCV
Designs conversational AI agents for mental well-being and behaviour change, working in HCI, CSCW and human-centred AI.
Accessibility, health & wellbeing
Interfaces & interaction techniques
Dialogue, generation & summarization
2026Affective and Goal-Oriented Factors of Relationship Formation in the Digital Therapeutic Alliance: A Longitudinal Study of Mental Health ChatbotsCHI
2026AI Personalization Paradox: Reading Highlights for Personalized AI-Assisted Writing Increases Engagement but Undermines Autonomy and OwnershipCHI
32 T1 · 51 papers · 12 members · 21 alumni
USCMUHuman-Computer Interaction Institute
Tongshuang WuDaniel P. Siewiorek Assistant Professor of Human-Computer Interaction
Studies human-AI collaboration, including interactive tools for evaluating and debugging language models.
Human-AI collaboration & trust
Interfaces & interaction techniques
Large language models
2026“I Don't Think RAI Applies to My Model” – Engaging Non-champions with Sticky Stories for Responsible AI Work Best PaperCHI
2026A Benchmarking Framework for Context-aware XR InterfacesUIST
Uses computational social science and language analysis of social media to reason about mental health and well-being.
Accessibility, health & wellbeing
Social computing & responsible AI
Language & society
2026(Re)mediators of Epistemic Injustice: Generative AI and Hermeneutic Resource Provision in Intimate Partner ViolenceIn Proceedings of the Conference on Human Factors in Computing Systems. CHI , to appear
2026Adverse Mental Health Events As a Trigger for Online Harassment: Evidence from Online Conversations of Youth Experiencing Psychiatric HospitalizationsIn Proceedings of the International AAAI Conference on Web and Social Media, ICWSM , to appear
Studies social computing and online content moderation, including machine learning tools such as Crossmod that support community moderators.
Social computing & responsible AI
Data management & big data
2026"Think about it like you're a firefighter": Understanding How Reddit Moderators Use the ModqueueCHI
2026LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community FeedbackEMNLP
17 T1 · 24 papers · 2 members · 23 alumni
USStanfordComputer Science
James LandayDenning Director of Stanford Institute for Human-Centered AI, Anand Rajaraman and Venky Harinarayan Professor and Senior Fellow at the Stanford Institute for Human-Centered AI
Studies human-computer interaction and human-centered AI, including ubiquitous computing and behavior-change technology.
Interfaces & interaction techniques
Human-AI collaboration & trust
2026Bloom: Designing for LLM-Augmented Behavior Change InteractionsCHI
2026Comparing Design Metaphors and User-Driven Metaphors for Interaction DesignCHI
17 T1 · 28 papers · Group size not listed
USUC BerkeleyElectrical Engineering and Computer Sciences