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Possibility of Relaxation Level Measurement During Music Listening Using Reverberation Envelope

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Human-Computer Interaction (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14014))

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Abstract

Our lifestyle has changed in recent years due to a massive pandemic. This has put us under great stress. We want to create a relaxing space as a simple way to cope with this stress without having to change the location. Therefore, we researched music and lighting with the aim of providing relaxing spaces that can relieve stress. This paper will first discuss music. We focused on the envelope index (E-value), which has been previously proposed as an indicator of acoustic signal features related to the audibility of reverberation. This index can be used for recordings made in an anechoic room, but is generally used for music with reverberation. We wanted to explore the possibility of E-values as an indicator of relaxing music. Therefore, the E-values of musical pieces were investigated. Furthermore, when participants were asked to listen to musical pieces with different E-values, it was found that those with higher E-values were less relaxing. The E-value may be able to quantify the relationship between musical pieces and relaxation.

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Acknowledgments

Thanks to Dr. Hideo Irimajiri for his guidance and valued cooperation.

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Authors and Affiliations

  1. Osaka Institute of Technology, Osaka, Japan

    Nana Kasajima & Yumi Wakita

Authors
  1. Nana Kasajima
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  2. Yumi Wakita
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Corresponding author

Correspondence to Nana Kasajima .

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Editors and Affiliations

  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  2. Hosei University, Tokyo, Japan

    Ayako Hashizume

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Kasajima, N., Wakita, Y. (2023). Possibility of Relaxation Level Measurement During Music Listening Using Reverberation Envelope. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2023. Lecture Notes in Computer Science, vol 14014. Springer, Cham. https://doi.org/10.1007/978-3-031-35572-1_2

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  • DOI: https://doi.org/10.1007/978-3-031-35572-1_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35571-4

  • Online ISBN: 978-3-031-35572-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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