Optimising in-vehicle gesture interaction: a study on user preferences and eye-tracking metrics in autonomous driving

Key Points

• The central aim is to optimize in-vehicle gesture interaction by understanding user preferences and analyzing eye-tracking data.
• Analyzed user preferences for gesture controls in autonomous vehicles
• Utilized eye-tracking technology to assess interactions
• Collected and compared user feedback on various gesture types
• Identified preferred gesture interactions that enhance user satisfaction
• Found correlations between eye-tracking metrics and gesture performance
• Proposed adjustments to gesture designs based on user feedback

Abstract