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,...