Smart Driving Gesture Interaction Design Based On DMPT Compatibility Model

Abstract

To address the problem of generally poor user experience of existing automotive gesture interaction products, the intelligent driving gesture interaction system is designed and the problem point design experiments are verified and optimized. The study combines the human-computer interaction compatibility theory in engineering psychology and constructs a DMPT compatibility model to guide the subsequent Situational Analysis and gesture interaction system design process. Experiments are designed and optimized for the problem of the impact of abstracted legends on driver cognitive load presented in the evaluation, which is a reference for the development of smart driving gesture interaction.