講演情報
[5O2-IS-5a-06]Developing a method to quantify flow experiences through electroencephalography and heart rate variability
〇Ayaka Nagai1, Kosuke Arai1, Motoyuki Sanada2, Yasushi Naruse2, Ikuko Yairi1 (1. Graduate School of Sophia University, 2. National Institute of Information and Communications Technology)
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キーワード：
Flow Experience、EEG、ECG、ASSR、Tetris
In recent years, flow experience has attracted attention as a means of improving sports performance and fostering a sense of well-being. However, flow experience is generally measured through subjective assessments such as post-experiment questionnaires, making it difficult to measure using objective indicators. Therefore, we focused on electroencephalograms (EEG) and heart rate variability(HRV) as new indicators from the perspective of objectivity and real-time measurement. In this study, we conducted an experiment using Tetris with competitive swimmers who had experienced abundant flow experiences and report the results of the analysis. In the future, we plan to use this data to implement a deep learning model for detecting flow experience from EEG and HRV data.