Mitchell Tan
Papers
1
Total Citations
2
H-Index
1
About
Mitchell Tan’s research lies at the intersection of human-computer interaction (HCI) and human-robot interaction (HRI), with a focus on understanding how people engage with technology in social and playful contexts. His most cited work, “Towards Better Human Robot Interaction: Understand Human Computer Interaction in Social Gaming Using a Video-Enhanced Diary Method” (2009), introduces a novel qualitative methodology that combines video recording with participant diaries to capture nuanced user experiences during social gaming. This approach provides rich, contextual insights into how users interact with robots and computers, bridging the gap between controlled lab studies and real-world behavior. While his citation count remains modest, Tan’s contribution is notable for its methodological innovation—offering a replicable framework for studying dynamic, social interactions that can inform the design of more intuitive and responsive robotic systems. His work is particularly valuable for researchers exploring the subtleties of user engagement in collaborative or competitive gaming scenarios, and it underscores the importance of mixed-method approaches in HCI and HRI research.
Research Focus
Key Achievements
Top Papers
- 1