User requirements serve as the primary reference content in product design. The effective capture of crucial user requirements, followed by the development of a product technical solution aligned with these requirements, stands as a pivotal approach to enhancing design efficiency. In order to explore the problem of generating and decision-making of product technical solutions in the case of complex user demands, this study constructs a user requirements driven product optimization design model, which is used to complete the generation and decision-making of product design solutions in a more reasonable way. The model unfolds across three key stages: Firstly, a user requirements importance ranking system is crafted leveraging Kano Model and Pairwise Analysis. Next, employing the Functional Analysis System Techniques (FAST) theory and the Quality Function Deployment (QFD) theory, user requirements undergo transformation into technical solutions. Finally, these technical solutions are amalgamated into diverse technical combinations, with decisions facilitated by a game theory model to yield the optimal overall design solution. The new optimal design model reduces the influence of subjectivity and ambiguity in the process of user requirements analysis, increases the reliability of the transformation of user requirements into technical solutions, and improves the efficiency of the generation and decision-making of product design solutions under multiobjective situations. The model proposed in this study is exemplified through the development of a medicated bath water heater. Results indicate that the technical solution derived from the model surpasses similar products in terms of user satisfaction, thereby validating its feasibility.

This study investigated the effects of different emotional background music on driving fatigue through a 60-min simulated driving experiment. The research employed a dual-phase design (0–40 min fatigue-delaying phase and post-40 min fatigue-awakening phase) with three auditory conditions: positive music, negative music, and no background music (driving noise only). Pupil diameter variation coefficient and average blink rate were used as objective fatigue evaluation metrics. The results demonstrated that when different emotional background music was introduced before fatigue onset, positive music effectively delayed fatigue development during prolonged driving. Under monotonous driving noise conditions, positive music stimulation administered after fatigue onset significantly improved driver fatigue levels, with the most pronounced awakening effects observed when positive music followed negative music stimulation. These findings indicate that strategically selected positive background music can serve both preventive (delaying fatigue onset) and active (alleviating existing fatigue) functions, providing practical solutions for driver safety and fatigue management.