2023年度 人工知能学会全国大会（第37回）
2023年6月6日〜6月9日熊本城ホール(熊本県熊本市) ＋ オンライン
2023年度 人工知能学会全国大会（第37回）
2023年6月6日〜6月9日熊本城ホール(熊本県熊本市) ＋ オンライン
[2U5-IS-5-02]Electroencephalography and Electrocardiogram Measurement of Flow Experience during Gameplay
〇Kousuke Arai1, Yusuke Yokota2, Yasushi Naruse2, Ikuko Yairi1(1. Sophia University, 2. National Institute of Information and Communications Technology)
[[Online, Regular]]
In recent years, flow experience has been regarded as an important criterion for ideal user experience (UX), and is gaining attention in the design phase of video games. However, flow experience is mainly measured by subjective evaluations such as post-questionnaires, making it difficult to measure in real time. This study aims to investigate the relationship between the cognitive workload obtained by EEG measurement, the user's subjective flow experience score, EEG, and electrocardiogram. This paper conducted an experiment using the Tetris® Effect: Connected, and obtained the flow scores calculated from the ECG data, EEG data, and post-questionnaire, and analyzed them in detail. The results showed that the cognitive workload calculated from FC3 in the extended 10-20 method was likely to be related to the flow experience. It was also suggested that the parasympathetic index might be related to the flow experience under certain conditions.