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

• 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
• Institution: Singapore Management University

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.