Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2021
Abstract
An optimal experience termed flow can be experienced by users who are deeply involved in human-computer interaction (HCI). The electroencephalogram (EEG) provides an innovative way to assess in real-time if users are approaching or experiencing the flow state in various applications of HCI. However, the current literature remains unclear and inconsistent with regard to the relationship between EEG activity and flow experience. The objective of this research is to assess EEG activity corresponding to the state of flow. A laboratory experiment was conducted to collect EEG data of the flow and other states (including baseline) in the context of HCI.
Keywords
Human-Computer Interaction, Flow, Electroencephalogram
Discipline
Graphics and Human Computer Interfaces | Health Information Technology
Research Areas
Data Science and Engineering
Publication
CSWIM 2021: Proceedings of the 14th China Summer Workshop on Information Management, Online, June 26-28
First Page
1
Last Page
6
Publisher
CSWIM
City or Country
Chongqing
Citation
NAH, Fiona Fui-hoon; YELAMANCHILI, Tejaswini; SIAU, Keng; and CHEN, Langtao.
Assessing real-time flow experience in human-computer interaction: An electroencephalogram (EEG) study. (2021). CSWIM 2021: Proceedings of the 14th China Summer Workshop on Information Management, Online, June 26-28. 1-6.
Available at: https://ink.library.smu.edu.sg/sis_research/9972
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://2021.cswimworkshop.org/wp-content/uploads/2021/06/cswim2021_paper_83.pdf
