Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
5-2017
Abstract
The objective of this research is to understand the neural correlates of user states of experience in human-computer interaction using electroencephalogram (EEG). Such user states include flow, boredom, and anxiety that are experienced when a user interacts with a computer-based system. We propose using a within-subjects experiment to collect EEG data to assess and compare the neural correlates of three main states of user experience (i.e., flow, boredom, and anxiety) as well as compare them with the resting state as a baseline. We expect the findings from this research to contribute to an improved understanding of psychophysiological means of assessing user experience.
Keywords
Neural correlates, Flow, Boredom, Anxiety, Electroencephalogram
Discipline
Databases and Information Systems | Software Engineering
Research Areas
Information Systems and Management
Areas of Excellence
Digital transformation
Publication
Proceedings of the Twelfth Midwest Association for Information Systems Conference, Springfield, Illinois, 2017 May 18-19
First Page
1
Last Page
3
City or Country
Springfield, Illinois
Citation
TEJASWINI, Y.; NAH, F.; SIAU, Keng; and CHEN, L..
Neural correlates of user experience in gaming. (2017). Proceedings of the Twelfth Midwest Association for Information Systems Conference, Springfield, Illinois, 2017 May 18-19. 1-3.
Available at: https://ink.library.smu.edu.sg/sis_research/9665
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.