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  1. シンポジウム
  2. シンポジウムシリーズ
  3. Asia Pacific Conference on Robot IoT System Development and Platform (APRIS)
  4. 2023

Analysis of Driver's Emotion and Driving Performance during Music Listening using Physiological Indexes

https://ipsj.ixsq.nii.ac.jp/records/231580
https://ipsj.ixsq.nii.ac.jp/records/231580
666bf9f9-eae0-4a47-a9bf-05071b201d8b
名前 / ファイル ライセンス アクション
IPSJ-APRIS2023012.pdf IPSJ-APRIS2023012.pdf (950.8 kB)
Copyright (c) 2023 by the Information Processing Society of Japan
オープンアクセス
Item type Symposium(1)
公開日 2023-12-20
タイトル
タイトル Analysis of Driver's Emotion and Driving Performance during Music Listening using Physiological Indexes
タイトル
言語 en
タイトル Analysis of Driver's Emotion and Driving Performance during Music Listening using Physiological Indexes
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
著者所属
Shibaura Institute of Technology
著者所属
Shibaura Institute of Technology
著者所属(英)
en
Shibaura Institute of Technology
著者所属(英)
en
Shibaura Institute of Technology
著者名 Narumon, Jadram

× Narumon, Jadram

Narumon, Jadram

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Midori, Sugaya

× Midori, Sugaya

Midori, Sugaya

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著者名(英) Narumon, Jadram

× Narumon, Jadram

en Narumon, Jadram

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Midori, Sugaya

× Midori, Sugaya

en Midori, Sugaya

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論文抄録
内容記述タイプ Other
内容記述 Driver inattention, mainly due to drowsiness, is a significant factor in traffic accidents. Music is widely used to reduce a driver's drowsiness. There are various driving performances while listening to music. However, it is unclear what factors contribute to individual differences in driving performance. Therefore, this study investigates the factors contributing to individual differences in driving performance while listening to music. The experiment was conducted in two conditions: driving with and without listening to music using a driving simulator. We grouped drivers based on their driving performance and evaluated and compared the emotions between different groups. The results indicate that five out of seven participants in the low-driving performance group experience similar emotions: lower comfort and higher arousal. However, it is necessary to increase the number of participants to verify the results in future experiments.
論文抄録(英)
内容記述タイプ Other
内容記述 Driver inattention, mainly due to drowsiness, is a significant factor in traffic accidents. Music is widely used to reduce a driver's drowsiness. There are various driving performances while listening to music. However, it is unclear what factors contribute to individual differences in driving performance. Therefore, this study investigates the factors contributing to individual differences in driving performance while listening to music. The experiment was conducted in two conditions: driving with and without listening to music using a driving simulator. We grouped drivers based on their driving performance and evaluated and compared the emotions between different groups. The results indicate that five out of seven participants in the low-driving performance group experience similar emotions: lower comfort and higher arousal. However, it is necessary to increase the number of participants to verify the results in future experiments.
書誌情報 Proceedings of Asia Pacific Conference on Robot IoT System Development and Platform

巻 2023, p. 48-49, 発行日 2023-12-20
出版者
言語 ja
出版者 情報処理学会
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