International Symposium on Affective Science and Engineering
Online ISSN : 2433-5428
ISASE2024
セッションID: PM-2A-04
会議情報

Affective Information
Modeling the state of mind when listening to Positive Mood Playlist using Bayesian inference
Haruka OHMORIAkihiro OGINO
著者情報
会議録・要旨集 フリー

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抄録

In this study, we modeled and evaluated the state of mind when a person listens to a playlist that makes them feel mood positive. We compared models of four different playlists and found that listening to a Positive Mood Playlist changed a personal state of mind. This is consistent with the results of a previous study, which showed that playlists with gradually changing song activation levels positively affect personal moods. These results suggest that the model proposed in this study may be able to reproduce a personal state of mind.

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© 2024 Japan Society of Kansei Engineering
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