IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i21p13742-d950487.html
   My bibliography  Save this article

QFD-Based Research on Sustainable User Experience Optimization Design of Smart Home Products for the Elderly: A Case Study of Smart Refrigerators

Author

Listed:
  • Yongchuan Li

    (Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia
    Centre for Sustainable and Smart Manufacturing, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia)

  • Raja Ariffin Raja Ghazilla

    (Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia
    Centre for Sustainable and Smart Manufacturing, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia)

  • Salwa Hanim Abdul-Rashid

    (Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia
    Centre for Sustainable and Smart Manufacturing, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia)

Abstract

In the current situation of global aging, the current market shortage of age-appropriate smart home products and the recent epidemic have led to greater isolation of the elderly, seriously affecting their physical and mental health. In order to optimize the sustainable user experience of the elderly when using smart home products, this paper proposes a research method based on Quality Function Deployment (QFD) for the optimal design of user experience of smart home products for the elderly, taking the design of age-appropriate home smart refrigerators as an example. Firstly, based on the results of market research and user interviews, the requirements of smart refrigerators for the elderly are screened and integrated, and the Kano model is used to prioritize these needs, resulting in the identification of important features needed in smart refrigerators for the elderly. Secondly, based on QFD, user requirements are transformed into design requirements, and a quality house model is established to ascertain the degree of importance of each design requirement through user ratings so as to obtain the key requirements as the theoretical basis for the solution design. Finally, optional solutions are generated for concept evaluation based on PUGH concept selection, comparing the advantages and disadvantages of the solutions and recombining them into an evaluation to determine the best solution. The quantitative evaluation of the four solutions reveals that Solution A has the highest score of 117.358, followed by Solution D with 113.259, Solution B with 96.415, and Solution C with 85.511, which is the lowest. The scoring allows the best design solution to be selected and applied to product development. The results show that the introduction of the Kano model and PUGH concept selection into QFD can be effectively used as a research method for optimizing the user experience of smart refrigerators for the elderly, and a corresponding design strategy for sustainable user experience optimization is proposed. The method and strategy provide guidance for the innovative design of new smart home products.

Suggested Citation

  • Yongchuan Li & Raja Ariffin Raja Ghazilla & Salwa Hanim Abdul-Rashid, 2022. "QFD-Based Research on Sustainable User Experience Optimization Design of Smart Home Products for the Elderly: A Case Study of Smart Refrigerators," IJERPH, MDPI, vol. 19(21), pages 1-22, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:13742-:d:950487
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/21/13742/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/21/13742/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Adèle Gauthier & Cécile Lagarde & France Mourey & Patrick Manckoundia, 2022. "Use of Digital Tools, Social Isolation, and Lockdown in People 80 Years and Older Living at Home," IJERPH, MDPI, vol. 19(5), pages 1-18, March.
    2. Anna Rosa Donizzetti & Martine Lagacé, 2022. "COVID-19 and the Elderly’s Mental Illness: The Role of Risk Perception, Social Isolation, Loneliness and Ageism," IJERPH, MDPI, vol. 19(8), pages 1-15, April.
    3. Jing Liu & Khairul Manami Kamarudin & Yuqi Liu & Jinzhi Zou, 2021. "Developing Pandemic Prevention and Control by ANP-QFD Approach: A Case Study on Urban Furniture Design in China Communities," IJERPH, MDPI, vol. 18(5), pages 1-26, March.
    4. Chen, Chun-Chih & Chuang, Ming-Chuen, 2008. "Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design," International Journal of Production Economics, Elsevier, vol. 114(2), pages 667-681, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dominika Siwiec & Andrzej Pacana & Andrzej Gazda, 2023. "A New QFD-CE Method for Considering the Concept of Sustainable Development and Circular Economy," Energies, MDPI, vol. 16(5), pages 1-21, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chengmin Zhou & Fangfang Yuan & Ting Huang & Yurong Zhang & Jake Kaner, 2022. "The Impact of Interface Design Element Features on Task Performance in Older Adults: Evidence from Eye-Tracking and EEG Signals," IJERPH, MDPI, vol. 19(15), pages 1-24, July.
    2. Meinel, Martin & Eismann, Tobias T. & Baccarella, Christian V. & Fixson, Sebastian K. & Voigt, Kai-Ingo, 2020. "Does applying design thinking result in better new product concepts than a traditional innovation approach? An experimental comparison study," European Management Journal, Elsevier, vol. 38(4), pages 661-671.
    3. Olimpia I. BAN & Ioana T. MESTER, 2014. "Using Kano Two Dimensional Service Quality Classification And Characteristic Analysis From The Perspective Of Hotels' Clients Of Oradea," Revista de turism - studii si cercetari in turism / Journal of tourism - studies and research in tourism, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 18(18), pages 30-36, December.
    4. Xiaolun Wang & Xinlin Yao, 2020. "Fueling Pro-Environmental Behaviors with Gamification Design: Identifying Key Elements in Ant Forest with the Kano Model," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
    5. Xin Chen & Chengxie Ma & Chengyu Tao, 2022. "Factors Influencing the Sustainability of Stroke Rehabilitation Services in Community: An Analysis Based on Kano Model," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    6. Julia Troll & Ivo Blohm & Jan Marco Leimeister, 2019. "Why Incorporating a Platform-Intermediary can Increase Crowdsourcees’ Engagement," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 433-450, August.
    7. Ling Zhu & Yuqi Yan & Jiufang Lv, 2023. "A Bibliometric Analysis of Current Knowledge Structure and Research Progress Related to Sustainable Furniture Design Systems," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    8. Damjan Vavpotič & Marko Robnik-Šikonja & Tomaž Hovelja, 2020. "Exploring the Relations Between Net Benefits of IT Projects and CIOs’ Perception of Quality of Software Development Disciplines," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(4), pages 347-360, August.
    9. A. M. M. Sharif Ullah & Jun'ichi Tamaki, 2011. "Analysis of Kano‐model‐based customer needs for product development," Systems Engineering, John Wiley & Sons, vol. 14(2), pages 154-172, June.
    10. Xin Bao & Tao Zhang & Bart Julien Dewancker & Jiahao He & Siyuan Liu, 2023. "Exploring the Unit Spatial Layout Preference for Urban Multi-Unit Residential Buildings: A Survey in Beijing, China," Sustainability, MDPI, vol. 15(15), pages 1-23, August.
    11. Nam, Seungju & Song, Woon-Kyung & Yoon, Heekweon, 2023. "An maintenance, repair, and overhaul (MRO) safety oversight system analysis: A case in Korea," Journal of Air Transport Management, Elsevier, vol. 107(C).
    12. Fang Wang & Hua Li & Aijun Liu, 2018. "A novel method for determining the key customer requirements and innovation goals in customer collaborative product innovation," Journal of Intelligent Manufacturing, Springer, vol. 29(1), pages 211-225, January.
    13. Mirian Fernández-Salido & Tamara Alhambra-Borrás & Jorge Garcés-Ferrer, 2024. "Implementation of a Comprehensive and Personalised Approach for Older People with Psychosocial Frailty in Valencia (Spain): Study Protocol for a Pre–Post Controlled Trial," IJERPH, MDPI, vol. 21(6), pages 1-13, May.
    14. Ebadi Jokandan , Mohsen & Shahbahrami , Asadollah, 2013. "A Solution for the Allocation of Customers Authentication Methods (The Case of Multimedia Contact Center in Agriculture Bank of Iran)," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 8(2), pages 103-124, April.
    15. Runliang Dou & Yubo Zhang & Guofang Nan, 2019. "Application of combined Kano model and interactive genetic algorithm for product customization," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2587-2602, October.
    16. Zhuojie Xie & Yuhui Wang & Qingxian Wu, 2018. "Battle damage assessment of surface warship formation based on improved gray relational analysis," The Journal of Defense Modeling and Simulation, , vol. 15(3), pages 269-278, July.
    17. Chao He & Zhongkai Li & Dengzhuo Liu & Guangyu Zou & Shuai Wang, 2023. "Improving the functional performances for product family by mining online reviews," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2809-2824, August.
    18. Anning Wang & Qiang Zhang & Shuangyao Zhao & Xiaonong Lu & Zhanglin Peng, 2020. "A review-driven customer preference measurement model for product improvement: sentiment-based importance–performance analysis," Information Systems and e-Business Management, Springer, vol. 18(1), pages 61-88, March.
    19. Mladen Mitrovic, 2017. "Dimensional Structure of Satisfaction with Hotel Services," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 10(1), pages 57-68.
    20. Rongqin Liu & Yun Zhang & Chuan Luo & Shangyu Tan & Yunqu Gong, 2024. "Review content type and hotel review helpfulness: direct and moderating effects," Information Technology and Management, Springer, vol. 25(4), pages 383-406, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:13742-:d:950487. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.