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System Design of Community Toward Wellbeing

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Book cover Human Interface and the Management of Information. Interacting with Information (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12185))

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Abstract

Targeting a community as a system that cannot exist without people’s self-motivated involvement, we propose a mechanism through which the selfish behavior of people elicits awareness in their relationship with others, eventually generating an altruistic effect. In this research, we conduct a field experiment in which people utilize the mechanism spontaneously and repeatedly to elucidate and demonstrate that wellbeing in a community is viable. Here, wellbeing indicates that an individual’s rights and self-actualization can be secured, and they are physically, mentally, and sociologically in good conditions. Accordingly, we introduce the basic concept of relationality and relationality assets (RAs). To make people aware of the significance and meaning of relationality in a community, we establish that relationality should be considered as an asset in the social and economic values, expected to provide some utility to a community in the future. This indicates that RAs are valuable for quantizing and visualizing the relationality naturally generated by people through interactions between “Hito,” “Mono,” and “Koto” while living in a community. In this paper, we discuss the significance and potential of the research concept and research issues to achieve the above goal.

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Acknowledgment

The author wishes to thank Ryo Shioya and Mizuki Tanaka (post-graduation students) for their contribution, and Prof. Yurika Shiozu, Kyoto Sangyo University, Prof. Kazuhiko Yonezaki, Taisho University, and Prof. Ivan Tanev, Doshisha University, for their help as research collaborators.

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Correspondence to Katsunori Shimohara .

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Shimohara, K. (2020). System Design of Community Toward Wellbeing. In: Yamamoto, S., Mori, H. (eds) Human Interface and the Management of Information. Interacting with Information. HCII 2020. Lecture Notes in Computer Science(), vol 12185. Springer, Cham. https://doi.org/10.1007/978-3-030-50017-7_18

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  • DOI: https://doi.org/10.1007/978-3-030-50017-7_18

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-50017-7

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