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Research on the Digital Memory Retention Service System for the Elderly–A Case Study of East China

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Cross-Cultural Design (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14024))

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Abstract

Due to the rapid development of technology, multiple means of recording and sharing make the method of memory retention go beyond oral and handwritten. However, in contemporary times, many elderly people are excluded from the internet world due to the limitation of ability. The users of the existing memory retention service are mainly young people, while the elderly are in the phase of hard following. Older people are at a stage where they need the company of others, need to think about the meaning of life, and want to preserve their stories. Improving the degree of social participation of the elderly and meeting their spiritual needs of preserving life stories are also important ways to respond to the active aging policy. Today, China has become one of the countries with the largest elderly population in the world, and has been actively responding to the active aging policy for many years. By means of information collection and interview, this study discusses the current situation of the elderly using digital memory retention services, and intends to build a digital memory retention service system centered on the elderly group, hoping to contribute to the relevant researches on population aging and sociocultural sustainability.

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Authors and Affiliations

  1. School of Art and Design, Division of Arts, Shenzhen University, Shenzhen, 518061, Guangdong, People’s Republic of China

    Jiaru Chen & Jun Wu

Authors
  1. Jiaru Chen
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  2. Jun Wu
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Correspondence to Jun Wu .

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Editors and Affiliations

  1. Department of Industrial Engineering, Tsinghua University, Beijing, China

    Pei-Luen Patrick Rau

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Chen, J., Wu, J. (2023). Research on the Digital Memory Retention Service System for the Elderly–A Case Study of East China. In: Rau, PL.P. (eds) Cross-Cultural Design. HCII 2023. Lecture Notes in Computer Science, vol 14024. Springer, Cham. https://doi.org/10.1007/978-3-031-35946-0_28

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  • DOI: https://doi.org/10.1007/978-3-031-35946-0_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35945-3

  • Online ISBN: 978-3-031-35946-0

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