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☕️“Technology should enhance human connection, not replace it. My mission is to create AI systems that amplify our collective human potential in virtual spaces.”
About Me
I’m Tamil Selvan, a second-year PhD candidate at the Empathic Computing Lab, University of Auckland. Under the guidance of Prof. Mark Billinghurst, Asst. Prof. Yun Suen Pai, and Dr. Huidong Bai, I’m exploring the intersection of human cognition and artificial intelligence in virtual environments.
Interests
- Human-AI Interaction and Collaboration
- Extended Reality
- Assistive Augmentation
- Machine Learning and Sensing
Education
PhD in Human Computer Interaction
The University of Auckland
MEng in Human Computer Interaction
The University of Auckland
B.Tech in Electronics and communication Engineering
Vellore Institute of Technology
Research Vision
"Technology should enhance human connection, not replace it."
My doctoral research, “AI-Augmented Collaborative Cognition in Virtual Meetings,” investigates how to enhance group cohesion and cognition in Human-AI teams during virtual meetings—a field that has become increasingly vital in our digitally connected world.
🤖
Human-AI Interaction
Designing AI systems that amplify collective human intelligence in collaborative environments
🥽
Extended Reality
Creating immersive XR experiences for enhanced remote collaboration and training
🧠
Cognitive Computing
Developing affective and cognitive-aware systems for adaptive interactions
📡
Sensing & ML
Leveraging radar, bio-signals, and machine learning for human-centric interfaces
Let’s collaborate to shape the future of human-technology interaction!
Featured Publications
Recent Publications
(2025).
Haptic Empathy: Investigating Individual Differences in Affective Haptic Communications.
In arXiv.
(2025).
Empathetic Conversational Agents: Utilizing Neural and Physiological Signals for Enhanced Empathetic Interactions.
In IJHCI.
(2025).
CoAffinity: A Multimodal Dataset for Cognitive Load and Affect Assessment in Remote Collaboration.
In IEEE TAFFC.
(2024).
Re-Touch: A VR Experience for Enhancing Autobiographical Memory Recall Through Haptic and Affective Feedback.
In SIGGRAPH Asia XR.
(2024).
RadarHand: A Wrist-Worn Radar for On-Skin Touch-Based Proprioceptive Gestures.
In ACM TOCHI.
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