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International Conference on Human Interaction and Emerging Technologies

IHIET-AI 2021: Human Interaction, Emerging Technologies and Future Applications IV pp 280–284Cite as

Human Computer Interaction Design of Online Shopping Platform for the Elderly Based on Flow Theory

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1378))

Abstract

With the development of aging population and the popularization of Internet technology, the elderly population has gradually become a new force that can not be ignored in online shopping. In order to solve the lack of psychological research on human-computer interaction design of online shopping platform for the elderly, this paper introduces the flow theory to analyze the flow experience elements of the elderly group, and summarizes the design methods of the human-computer interaction of the elderly online shopping platform from the three aspects of the flow conditions, experience factors and flow results, which fully shows the attention to the psychological and emotional needs of the elderly groups.

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References

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Author information

Authors and Affiliations

  1. East China University of Science and Technology, 130 Meilong Road, Xuhui District, Shanghai, 200237, China

    Jin Zhou & Meiyu Zhou

Authors
  1. Jin Zhou
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  2. Meiyu Zhou
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Editor information

Editors and Affiliations

  1. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

  2. Campus du Moulin de la Housse, Université de Reims Champagne-Ardenne GRESPI, Reims Cedex 2, France

    Redha Taiar

  3. Directrice Hôpitaux Universitaires de Strasbourg, IFMK, Strasbourg, France

    Fabienne Groff

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Zhou, J., Zhou, M. (2021). Human Computer Interaction Design of Online Shopping Platform for the Elderly Based on Flow Theory. In: Ahram, T., Taiar, R., Groff, F. (eds) Human Interaction, Emerging Technologies and Future Applications IV. IHIET-AI 2021. Advances in Intelligent Systems and Computing, vol 1378. Springer, Cham. https://doi.org/10.1007/978-3-030-74009-2_35

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