Research on the design of smart sleep aid interactive products Online publication date: Thu, 01-Feb-2024
by Shan Hu; Liyan Zhang; Weiqi Guo; Dong Zhang; Qi Jia; Zitong Yang; Min Guo
International Journal of Industrial and Systems Engineering (IJISE), Vol. 46, No. 2, 2024
Abstract: The purpose of this research is to solve their problems of being uncomfortable, easy to lose, and unable to accurately determine the user's sleep state to cause second awakening, so as to maximise the needs of users and improve the user experience. The research uses the analytic hierarchy process (AHP), quality function deployment (QFD), and function behaviour structure (FBS) models to integrate an innovative design method. This method first extracts user needs and calculates weights through an AHP. The results use convolutional neural networks to build a user sleep state model with personal sleep characteristics to achieve effective transformation of user requirements to design results. This method can improve the user experience of intelligent sleep aid products from the perspective of user needs and provide a feasible reference for the design research of intelligent sleep aid products.
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