A comprehensive evaluation model for the intelligent automobile cockpit comfort

Area of Science:

• Automotive Engineering
• Human-Computer Interaction
• Environmental Science

Background:

• Increasing focus on automotive intelligence and cockpit comfort.
• Need for a robust intelligent cockpit comfort evaluation model.
• Comfort is a key factor in user experience for intelligent vehicles.

Purpose of the Study:

• To develop a comprehensive evaluation model for intelligent automotive cockpit comfort.
• To identify and rank the key influencing factors of cockpit comfort.
• To provide a framework for optimizing intelligent cockpit design.

Main Methods:

• Dividing influencing factors into acoustic, optical, thermal, and human-computer interaction environments.
• Utilizing analytic hierarchy process for subjective weights and improved entropy weight method for objective weights.
• Combining weights using game theory and employing cloud algorithm for comprehensive evaluation and ranking.

Main Results:

• Human-computer interaction identified as the most impactful factor on intelligent cockpit comfort.
• The ranking of influencing factors is: human-computer interaction, thermal environment, acoustic environment, and optical environment.
• A comprehensive evaluation model for intelligent automotive cockpit comfort was successfully established.

Conclusions:

• The developed model provides a quantitative approach to assessing intelligent cockpit comfort.
• Findings highlight the critical role of human-computer interaction in user satisfaction.
• Results can guide future intelligent cockpit design for enhanced user experience and services.