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Improving user satisfaction by analysing users’ subjective cognitive types in smart home systems

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Abstract

This research aims to identify the types of users’ subjective preferences in smart home systems and build respective strategies to improve user satisfaction. Forty-one Q samples were collected and screened using the entropy weight method, and Q sorting on 30 P samples was performed. Three types of smart home systems’ user preference cognition and their characteristics are obtained and analysed. The results show that the smart home system design strategy comprises five design features and 15 design contents. This provides implications for the research and development of smart home systems from the user’s subjective preferences and needs.

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Funding

This work was supported by the [Basic scientific research project of Liaoning Provincial Department of Education in 2022: design and research of aging smart products] under Grant [number LJKMR20220817].

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Authors and Affiliations

  1. College of Humanities and Art, Shenyang University of Chemical Technology, Shenyang, China

    Na Zhang

  2. Graduate School, Kyonggi University, Suwon-si, Republic of Korea

    Shuyi Wang

  3. School of Design & Art, Shenyang Aerospace University, Shenyang, China

    Hesen Li

  4. Shenyang Aerospace University, No.37 Daoyi South Avenue, Shenbei New Area, Shenyang, 110135, China

    Hesen Li

Authors
  1. Na Zhang
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  2. Shuyi Wang
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  3. Hesen Li
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Hesen Li and Shuyi Wang. The first draft of the manuscript was written by Na Zhang, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Hesen Li.

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Zhang, N., Wang, S. & Li, H. Improving user satisfaction by analysing users’ subjective cognitive types in smart home systems. Univ Access Inf Soc (2024). https://doi.org/10.1007/s10209-024-01105-2

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