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Evaluation of the Suitability of Smart Health Products for Aging Based on the IIVAHP-CRITIC Model: A Case Study of Smart Health Kiosk

Author

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  • Ning Lu

    (School of Art and Design, Xihua University, Chengdu 610039, China
    College of Design and Engineering, National University of Singapore, Singapore 117356, Singapore)

  • Yefei Li

    (School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

  • Bochu Xu

    (School of Design, Southwest Jiaotong University, Chengdu 611756, China)

Abstract

In the global situation of an aging population, the evaluation of the suitability of smart health products for aging is very important in order to achieve sustainable development goals. However, few evaluation methods have been adopted for smart health products for older individuals. An objective and comprehensive evaluation system and evaluation methods need to be established to guide the design of smart health products. In this study, a Smart Health Kiosk (SHK) was used as an example, and an index system was established for the evaluation of the suitability for aging based on the influencing factors from four dimensions. To address the problem that it is difficult to quantify the subjective and objective weights in the evaluation, this study proposes a method of evaluating suitability for aging based on the combination of the Improved Interval-Valued Analytic Hierarchy Process and the Criteria Importance Though Intercrieria Correlation (IIVAHP-CRITIC) method. The results show that the method integrates the influence of subjective and objective weights on the evaluation and avoids the limitations of a single evaluation. It takes into account the relationship between the various levels of indicators and the subjective and objective indicators. Weights calculated by the IIVAHP-CRITIC method help to better assess the objectivity and validity of the design solutions. This evaluation method can effectively reflect the related attributes of each element in the aging-suitability design stage of smart health products. The evaluation results help to improve the quality and ergonomic comfort of aging products, and can effectively reduce the occurrence of design problems.

Suggested Citation

  • Ning Lu & Yefei Li & Bochu Xu, 2022. "Evaluation of the Suitability of Smart Health Products for Aging Based on the IIVAHP-CRITIC Model: A Case Study of Smart Health Kiosk," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:15:p:9212-:d:873094
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    References listed on IDEAS

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    1. Marcelo de Maio Nascimento & Élvio Rúbio Gouveia & Adilson Marques & Bruna R. Gouveia & Priscila Marconcin & Andreas Ihle, 2022. "Gait Speed as a Biomarker of Cognitive Vulnerability: A Population-Based Study with Cognitively Normal Older Adults," Sustainability, MDPI, vol. 14(12), pages 1-12, June.
    2. Ray Jones, 2009. "The Role of Health Kiosks in 2009: Literature and Informant Review," IJERPH, MDPI, vol. 6(6), pages 1-38, June.
    3. Oderanti, Festus Oluseyi & Li, Feng & Cubric, Marija & Shi, Xiaohui, 2021. "Business models for sustainable commercialisation of digital healthcare (eHealth) innovations for an increasingly ageing population," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    4. Alireza Alinezhad & Javad Khalili, 2019. "New Methods and Applications in Multiple Attribute Decision Making (MADM)," International Series in Operations Research and Management Science, Springer, number 978-3-030-15009-9, March.
    5. Sathyanarayanan Doraiswamy & Anupama Jithesh & Ravinder Mamtani & Amit Abraham & Sohaila Cheema, 2021. "Telehealth Use in Geriatrics Care during the COVID-19 Pandemic—A Scoping Review and Evidence Synthesis," IJERPH, MDPI, vol. 18(4), pages 1-17, February.
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    Cited by:

    1. Hu Sun & Qihang Yang & Yueqin Wu, 2023. "Evaluation and Design of Reusable Takeaway Containers Based on the AHP–FCE Model," Sustainability, MDPI, vol. 15(3), pages 1-21, January.

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