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
Studies usable privacy and security, including how people perceive privacy risks of AI.
Interfaces & interaction techniques
2026Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?ICLR
2026Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product ConceptsCHI
19 T1 · 32 papers · 4 members · 3 alumni
GBOxfordDepartment of Computer Science
Max Van KleekAssociate Professor of Computer Science
Works on human-computer interaction for personal information and data management, decentralised systems and AI.
Interfaces & interaction techniques
Data management & big data
2026"It Hasn't Lived in Our Society": Investigating Cultural Sensitivity in LLM Chatbots for Emotional SupportCHI
2026"No One Should Know I Used This App": Challenges and Design Opportunities for Digital Mental Well-Being Support for Young Saudi WomenCHI
18 T1 · 32 papers · 11 members · 7 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