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Encouraging Elderly Self-care by Integrating Speech Dialogue Agent and Wearable Device

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Human Aspects of IT for the Aged Population. Technology in Everyday Living (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13331))

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Abstract

Currently, the world’s population has been aging. Especially, Japan has entered a super-aging society. We develop a listening service using a spoken dialogue agent as a system to support self-help for the in-home elderly in our research group. However, it is impossible to promote self-care for physical and mental illnesses that the elderly are not aware of. The purpose of this paper is to encourage more self-care among the elderly. The key idea is to make the elderly aware of the need for care by adding health data to the agent’s topics of conversation, not just the content of past utterances. As an approach, we link wearable devices with interactive agents. The proposed system is expected to make the elderly aware of their physical and mental discomforts, which they are not aware of themselves, and to promote self-care.

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Notes

  1. 1.

    https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/hukushi_kaigo/kaigo_koureisha/chiiki-houkatsu/.

  2. 2.

    https://www.garmin.com/en-US/.

  3. 3.

    https://www.npmjs.com/package/garmin-connect.

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Acknowledgements

This research was partially supported by JSPS KAKENHI Grant Numbers JP19H01138, JP18H03242, JP18H03342, JP19H04154, JP19K02973, JP20K11059, JP20H04014, JP20H05706 and Tateishi Science and Technology Foundation (C) (No. 2207004).

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Authors and Affiliations

  1. Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada, Kobe, 657-8501, Japan

    Hayato Ozono, Sinan Chen & Masahide Nakamura

  2. RIKEN Center for Advanced Intelligence Project, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan

    Masahide Nakamura

Authors
  1. Hayato Ozono
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  2. Sinan Chen
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  3. Masahide Nakamura
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Corresponding author

Correspondence to Hayato Ozono .

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Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Qin Gao

  2. Chongqing University, Chongqing, China

    Jia Zhou

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Ozono, H., Chen, S., Nakamura, M. (2022). Encouraging Elderly Self-care by Integrating Speech Dialogue Agent and Wearable Device. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. Technology in Everyday Living. HCII 2022. Lecture Notes in Computer Science, vol 13331. Springer, Cham. https://doi.org/10.1007/978-3-031-05654-3_4

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  • DOI: https://doi.org/10.1007/978-3-031-05654-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05653-6

  • Online ISBN: 978-3-031-05654-3

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