Evaluating User Satisfaction in Automotive Cockpits Using a Fuzzy Evaluation Model
DOI:
https://doi.org/10.15837/ijccc.2026.1.7067Keywords:
Intelligent car cockpit, fuzzy comprehensive evaluation model, Analytic Hierarchy Process, entropy method, user experience, human-machine interactionAbstract
The assessment of user experience satisfaction in intelligent automotive cockpits is pivotal for enhancing vehicle design and user interaction. This study introduces a fuzzy comprehensive evaluation model that integrates the Analytic Hierarchy Process (AHP), entropy weight method, and fuzzy evaluation method to systematically analyze user satisfaction. By combining subjective and objective data, the model quantifies user perceptions across multiple dimensions, including cockpit layout, design aesthetics, and information interface usability. Empirical testing involving 20 participants validated the model’s effectiveness, revealing key areas for improvement, such as steering wheel and seat design, while demonstrating consistency between subjective feedback and objective metrics. The results highlight the model’s ability to provide actionable insights for automotive manufacturers, facilitating the development of more intuitive and user-centric cockpit systems. Future research will expand the evaluation framework to include diverse seating positions and additional cockpit features, further refining the assessment methodology.
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