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Estimating Subjective Ikigai of Older Adults Based on the Analysis of Voice Communication in Social Activities: A Case Study of Frailty Check Activity Scenes

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HCI International 2024 – Late Breaking Papers (HCII 2024)

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Abstract

As birthrates decline and the population ages globally, the healthy age of older adults is increasing, and the need for sustainable participation in society is growing. Older adults can experience subjective well-being, namely, a sense of Ikigai (motivation to live), when they readily engage in meaningful activities. However, to support this, there is a need for a system that recommends such activities, and a method to measure the subjective experience of Ikigai in specific activities is yet to be developed. This study investigates the estimation of social engagement in enhancing the Ikigai of older adults based on communication during the volunteer activity. Focusing on voice communication during frailty checkup activities, we aim to develop a method to measure the subjective perception of Ikigai using objective indicators. We analyzed speech data from 16 older volunteers using advanced audio processing techniques and sentiment analysis. Based on our findings, it seems that individual speech features and group interactions can provide some indication of an individual’s Ikigai.

T. Miura and K. Yabu—Contributed equally to this work.

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Acknowledgment

This work was supported by JST-Mirai Program (Grant number: JPMJMI21J1) and JSPS KAKENHI (Grant number: JP21H04580).

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Authors and Affiliations

  1. National Institute of Advanced Industrial Science and Technology (AIST), 6-2-3 Kashiwanoha, Kashiwa, Chiba, 277-0882, Japan

    Takahiro Miura

  2. Research Center for Advanced Science and Technology, The University of Tokyo, 4-6-1, Komaba, Meguro-ku, Tokyo, 153-8904, Japan

    Ken-ichiro Yabu

  3. Graduate School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan

    Emiko Uchiyama

  4. Tokyo University of Agriculture and Technology, 3-8-1, Harumicho, Fuchu, Tokyo, 183-8538, Japan

    Kenta Kamikokuryo & Vincent Hernandez

  5. Institute of Gerontology (IOG), The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan

    Bo-kyung Son & Katsuya Iijima

Authors
  1. Takahiro Miura
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  2. Ken-ichiro Yabu
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  3. Emiko Uchiyama
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  4. Kenta Kamikokuryo
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  5. Vincent Hernandez
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  6. Bo-kyung Son
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  7. Katsuya Iijima
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Correspondence to Takahiro Miura .

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Editors and Affiliations

  1. and Technology - Hellas, Foundation for Research, Heraklion, Crete, Greece

    Margherita Antona

  2. and FORTH - Hellas, University of Crete, Heraklion, Crete, Greece

    Constantine Stephanidis

  3. Tsinghua University, Beijing, China

    Qin Gao

  4. Chongqing University, Chongqing, China

    Jia Zhou

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Miura, T. et al. (2025). Estimating Subjective Ikigai of Older Adults Based on the Analysis of Voice Communication in Social Activities: A Case Study of Frailty Check Activity Scenes. In: Antona, M., Stephanidis, C., Gao, Q., Zhou, J. (eds) HCI International 2024 – Late Breaking Papers. HCII 2024. Lecture Notes in Computer Science, vol 15379. Springer, Cham. https://doi.org/10.1007/978-3-031-76818-7_17

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  • DOI: https://doi.org/10.1007/978-3-031-76818-7_17

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