User Experience and Fuzzy Evaluation for Intelligent Cockpit

An intelligent cockpit user experience evaluation model is introduced, utilizing a three-level indicator system based on the fuzzy analytic hierarchy process. The first-level indicators encompass hardware, software functionality, perceptual experience, and emotional experience. Hardware and software, being fundamental cockpit's features, are pivotal to the overall user experience. Based on this, multimodal perceptual experience enhances user awareness and emotional experience reflects the user's psychological acceptance of the entire interaction process and outcomes, representing the culmination of the user's experience within the intelligent cockpits. Experimental results show that, when faced with numerous evaluation indicators, the proposed method outperforms traditional approaches, offering greater efficiency and reducing human subjectivity and uncertainty, thereby facilitating user experience evaluation. The studies presented can guide the user experience design for automobile intelligent cockpits.