Abstract

In the context of the Internet of Things (IoT), the user interface has become the main means of interaction between the user and the network system, and the increasing variety of ways of interacting with the user interface has created many “digital problems” for the elderly. In order to explore the preferences of elderly people in using smart products and to help designers to objectively and rationally select interface design solutions, to enhance the experience of elderly people in using smart products and the naturalness of the interaction process, and to motivate them to actively participate in Internet life, this study proposes a new approach to interface design solution selection, which reduces the subjectivity of solution selection in the design process. Firstly, the interface was decomposed into 7 components, and the orthogonal experimental design was used to calculate the evaluation indexes and the correlation degree between the objects of 18 typical solutions, and finally the preferred solution was obtained. Secondly, conjoint analysis was used to obtain the importance that older users attached to the seven interface components and their preferences for the types of elements. The research takes the interface design of an elderly companion robot as an example. The method enables the optimization of the target problem of how to match the interface design elements and the final solution preference in IoT systems, enabling designers to use mathematical and rational thinking to study contradictory problems, enhancing the objectivity and scientificity of interface design and solution selection, providing a more natural and comfortable interaction experience for elderly users, and promoting healthy ageing.

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