With the rapid development of automobile industry, the field of intelligent automobile cockpit develops rapidly as a multidisciplinary and interdisciplinary field. At present, the research on intelligent vehicle cabins mainly focuses on the expansion of human-computer interaction and automatic driving assistance to improve the driving experience. However, there is limited research on driver distraction, sensory overload, and inappropriate mood swings caused by too many functions in intelligent cockpits. Therefore, this study is mainly aimed at the design of auditory perceptual compensation. The Gross Cooperative Cockpit Regulation Theory (GCCRT), based on Gross’s Theory, is proposed to analyze the mechanisms underlying drivers’ emotional responses under different sequences of perceptual compensation. This study uses a simulated cockpit experiment. It analyzes how multimodal perception compensation affects driving experience and driver emotions. During the experiment, participants complete driving tasks under different auditory perception compensation strategies. Their driving performance and emotional changes are evaluated based on subjective feedback and behavioral data. This experiment, based on theory, focuses on the impact of different sequences of visual, tactile, and auditory perception compensation on drivers. It also analyzes the order of perception compensation to explore the optimal compensation strategy. The results show that multimodal perception compensation significantly affects driver emotions and driving performance. In complex driving environments, designing these strategies requires balancing safety and comfort.