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Optimization Design of Fresh e-Commerce Platform for the Elderly

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Human-Computer Interaction (HCII 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14687))

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Abstract

The primary objective of this study is to address the concern of the extensive utilization of dark patterns in the fresh e-commerce platform in the Chinese market, which may have a negative impact on user experience. Specifically, the research focuses on the information requirements of the elderly population in relation to these fresh e-commerce platforms. To accomplish this, a comprehensive research approach incorporating case studies, user surveys utilizing the KANO Model, design implementation, and in-depth interviews is adopted. The findings derived from this study offer valuable insights into the specific information needs of elderly users within the realm of fresh e-commerce platforms. Moreover, optimization strategies for user interface design are proposed based on these discerned needs, thereby contributing to enhanced user experience among the elderly users.

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Authors and Affiliations

  1. Nan**g University of Science and Technology, **aolingweistr. 200, Nan**g, 210094, China

    Yi Ding & Mingxi Wang

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  1. Yi Ding
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  2. Mingxi Wang
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Correspondence to Yi Ding .

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  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  2. Hosei University, Tokyo, Japan

    Ayako Hashizume

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Ding, Y., Wang, M. (2024). Optimization Design of Fresh e-Commerce Platform for the Elderly. In: Kurosu, M., Hashizume, A. (eds) Human-Computer Interaction. HCII 2024. Lecture Notes in Computer Science, vol 14687. Springer, Cham. https://doi.org/10.1007/978-3-031-60441-6_10

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  • DOI: https://doi.org/10.1007/978-3-031-60441-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-60440-9

  • Online ISBN: 978-3-031-60441-6

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