Tao Bi

Tao Bi
PhD Student
Pronouns: he/him/his
[email address hidden]
+44(0)20 3108 6546 (x56546)
Room: 2.04
UCLIC, University College London
66 - 72 Gower Street
London, WC1E 6EA
United Kingdom

My Ph.D. research investigates how sensing technology can enhance experiential aspects of physical activities and sports events, with particular interests in sensing and socially sharing affective, emotional, psychophysical states of long-distance running.

Brief biography

Before starting the Ph.D programme, I obtained a Master Degree in Human-Computer Interaction at UCLIC, University College London, where I focused on user-centred design and research. My focus of master dissertation (with Distinction) was on how technology can enhance the experience of runners and spectators during long-distance event. Prior to that, I have pursued an Bachelor Degree in Computer Science in China (with an award of National Scholarship).

I'm currently the representative for the Postgraduate Research Students Group at the UCL Interaction Centre.

Research Publications

Chongyang Wang, M Peng, Tao Bi, T Chen Micro-attention for micro-expression recognition 2020 Neurocomputing, Journal article
M Peng, Chongyang Wang, Tao Bi, Y Shi, X Zhou, T Chen A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition 2019 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), Conference paper (text)
Tao Bi, Nadia Berthouze, Aneesha Singh, Enrico Costanza Understanding the Shared Experiences of Runners and Spectators in Long-Distance Running Events 2019 CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2019), Conference paper (text), Glasgow, UK
Tao Bi, Y Zhang, Chongyang Wang, Amid Ayobi Characterizing HCI Research in China: Streams, Methodologies and Future Directions 1900 CHI 2019 workshop: HCI in China: Research Agenda, Education Curriculum, Industry Partnership, and Communities Building, Journal article
M Peng, Chongyang Wang, Y Gao, Tao Bi, T Chen, Y Shi, X-D Zhou Recognizing Micro-Expression in Video Clip with Adaptive Key-Frame Mining 1900 Journal article