Journal of Information Resources Management ›› 2024, Vol. 14 ›› Issue (4): 146-160.doi: 10.13365/j.jirm.2024.04.146

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A Review of Research on Elderly-oriented Digital Products: Demand Mining, Obstacle Analysis and Optimal Design

Lin Yuqin Zhao Yang Liu Wanting Wang Lin   

  1. School of Information Management, Wuhan University, Wuhan 430072
  • Online:2024-07-26 Published:2024-08-14
  • About author:Lin Yuqin, M.S. candidate, research interests include user experience design; Zhao Yang, Ph.D., professor, doctoral supervisor, research interests include big data analysis of user behavior, user experience design, Email: yangzhao_0813@whu.edu.cn; Liu Wanting, undergraduate, research interests include user experience design; Wang Lin, Ph.D., associate professor, master supervisor, research interests include data mining and visualization.
  • Supported by:
    This paper is one of the research results of the major project of the National Social Science Foundation of China: "Research on the Reconstruction and Application of Information Service Systems Driven by Human-Centered AI"(22&ZD324).

Abstract: The "digital divide" exacerbated by the simultaneous development of population aging and social digitization has become increasingly severe, prompting a focus on the research and design of elderly-oriented digital products within both industry and academia. Using a systematic review approach, this study analyzes 348 research articles on elderly-oriented digital product design indexed in CNKI and Web of Science from 2014 to 2023. It explores the research progress and developing trend of the demand mining, usage obstacles, and optimal design of digital products for elderly users. The findings reveal that research on elderly users' needs mainly focuses on the three levels of material, emotional and spiritual needs, with significant focus on sensory barriers, cognitive barriers, behavior barriers and psychological barriers in product usage. The study investigates elderly-oriented design through various lenses, including design standards, optimization countermeasures, and usability testing. Future research should further consider the evolving nature of digital products and demographic trends by enhancing the methods for sample collection, innovating research methodologies, and expanding the content of studies. The findings of this study provide valuable references for identifying research priorities in elderly-oriented digital product adaptation, spotlighting emerging areas, advancing theoretical frameworks, and also offer practical insights for the proactive development of an age-friendly digital society.

Key words: Digital products, Elderly-oriented, Smart senior care, Demand mining, Obstacle analysis, Optimal design

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