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.
Int J Environ Res Public Health. 2022 Oct 22;19(21):13742. doi: 10.3390/ijerph192113742.
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.
在全球老龄化的当前形势下,当前适老化智能家居产品市场的短缺以及最近的疫情导致老年人更加孤立,严重影响了他们的身心健康。为了优化老年人使用智能家居产品的可持续用户体验,本文提出了一种基于质量功能展开(QFD)的研究方法,用于优化适老化智能家居产品的用户体验设计,以适老化家用智能冰箱的设计为例。首先,基于市场研究和用户访谈的结果,筛选和整合了老年人对智能冰箱的需求,并使用 Kano 模型对这些需求进行优先级排序,确定了老年人对智能冰箱的重要需求特征。其次,基于 QFD,将用户需求转化为设计需求,并建立质量屋模型,通过用户评分确定每个设计需求的重要程度,从而获得关键需求作为解决方案设计的理论基础。最后,基于 PUGH 概念选择为概念评估生成可选解决方案,比较解决方案的优缺点,并将它们重新组合成评估,以确定最佳解决方案。对四个解决方案的定量评估表明,解决方案 A 的得分为 117.358,最高,其次是解决方案 D(113.259)、解决方案 B(96.415)和解决方案 C(85.511),最低。评分允许选择最佳设计解决方案并将其应用于产品开发。结果表明,将 Kano 模型和 PUGH 概念选择引入 QFD 可以有效地用作优化适老化智能冰箱用户体验的研究方法,并提出了相应的可持续用户体验优化设计策略。该方法和策略为新智能家居产品的创新设计提供了指导。