Research on driver distraction degree in multi-scene operating conditions based on eye movement technology

With the vigorous development of automotive information network technology and artificial intelligence technology, the degree of automotive intelligence continues to improve, and the forms of interaction between users and the cabin are constantly diversified. Among them, screen, voice, buttons, and steering wheel are the four most common forms of interaction. The UI design of the screen, the recognition ability of the voice system, the ease of understanding of button icons, and the tactile feel of buttons can distract drivers, causing safety hazards and increasing the probability of safety accidents. This article uses eye movement technology to capture eye movement data of drivers applying different interaction methods in different scenarios. By analyzing eye movement data, the driver's level of distraction and corresponding interaction function design defects are obtained, which helps enterprises optimize product functions, improve the operational convenience of functions, and reduce driving safety risks.