人工知能学会全国大会論文集
Online ISSN : 2758-7347
37th (2023)
セッションID: 2U5-IS-5-02
会議情報

Electroencephalography and Electrocardiogram Measurement of Flow Experience during Gameplay
*Kousuke ARAIYusuke YOKOTAYasushi NARUSEIkuko YAIRI
著者情報
会議録・要旨集 フリー

詳細
抄録

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.

著者関連情報
© 2023 The Japanese Society for Artificial Intelligence
前の記事 次の記事
feedback
Top