Assessing real-time flow experience in human-computer interaction: An electroencephalogram (EEG) study

Assessing real-time flow experience in human-computer interaction: An electroencephalogram (EEG) study

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,...

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Bibliographic Details
Main Authors: NAH, Fiona Fui-hoon, YELAMANCHILI, Tejaswini, SIAU, Keng, CHEN, Langtao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
Human-Computer Interaction
Flow
Electroencephalogram
Graphics and Human Computer Interfaces
Health Information Technology
Online Access:https://ink.library.smu.edu.sg/sis_research/9972
https://ink.library.smu.edu.sg/context/sis_research/article/10972/viewcontent/cswim2021_paper_83_pvoa.pdf
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Institution: Singapore Management University
Language: English
Description
Summary: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.

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