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We're recruiting two Research Assistants, as well as PhD candidates! Find out more:
Who we are
Who we are
The Context-Aware Interaction Lab (CAILab) is an interdisciplinary Human-Computer Interaction (HCI) research lab at the Singapore University of Technology and Design (SUTD) which focuses on sensing and understanding contexts in wellness, healthcare, and human performance to empower users using AI.
Current Research Foci
Current Research Foci
Context Sensing towards Mental Health Support
Physical Social Interaction Sensing for Child Developmental Support
Human-AI Interaction with Large-Language Models
News
News
Jun 2024: Our paper on "Analyzing Swimming Performance Using Drone Captured Aerial Videos" was accepted in the at MobiSys'24 DroNet. Congratulations to all the authors and collaborators!
May 2024: Our paper on "Towards Understanding Emotions for Engaged Mental Health Conversations" was accepted in DIS'24 PWiP. Congratulations to Kellie and Kohleen!
Apr 2024: Our paper "SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore was accepted in WOAH'24. Congratulations to all the authors!
Mar 2024: Our paper on "A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration" was accepted in CHI'24 LBW. Congratulations to all the authors!
Feb 2024: Our demo paper "Brinjal: A Web-Plugin for Collaborative Hate Speech Detection" was accepted in The Web Conference 2024. Congratulations to all the authors!
Nov 2023: We obtained a grant to enhance mental health support through context-aware communication systems worth $428,158. Congratulations to our lab director Kenny Choo who is the PI and all collaborators!
Aug 2023: Our paper on "CoAIcoder: Examining the Effectiveness of AI-assisted Human-to-Human Collaboration in Qualitative Analysis" was accepted in TOCHI. Congratulations to all the authors!
Aug 2023: We obtained a grant to do Physiological & Smart Drone Based Sensing, Analysis and Coaching Insights for Competititive Swimming worth $369,600. Congratulations to all PIs, Co-Is, and collaborators!
Apr 2023: Our paper on "Evaluating GPT-3 Generated Explanations for Hateful Content Moderation" was accepted in IJCAI'23. Congratulations to all the authors!
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