Neural Correlates of Flow Experience
COM2 Level 4
Executive Classroom, COM2-04-02
Abstract:
An optimal experience, termed "flow," has been experienced by users who are deeply involved in human-computer interaction. Given the importance of studying flow experience in an online environment and the potential of using electroencephalogram (EEG) as a promising means of assessing flow experience in real-time, the objective of this research is to identify EEG correlates of flow experience in an online gaming context. We conducted a laboratory experiment that captured EEG data for the flow and resting states of video game players and compared the EEG power of various frequency bands (e.g., theta (4-8 Hz) and alpha (8-12 Hz)) between the flow and resting states. We will present our findings in this talk. The research findings are useful to information systems designers, who can utilize EEG to assess user experience in real-time to understand the effects of different design elements and interfaces on the flow state of users.
Biodata:
Fiona Fui-Hoon Nah is a Professor of Business & Information Technology at the Missouri University of Science and Technology. She is the Editor-in-Chief of AIS Transactions on Human-Computer Interaction, and a co-Founder and former Chair of the AIS Special Interest Group on Human-Computer Interaction. Her publications have appeared in journals such as MIS Quarterly, Journal of the Association for Information Systems, and International Journal of Human-Computer Studies. She received her Ph.D. from the University of British Columbia and her M.Sc. and B.Sc. (Hons) from the National University of Singapore.