Proceedings of the 3rd International Conference on Art Design and Digital Technology, ADDT 2024, May 24–26, 2024, Luoyang, China

Research Article

The Application of Eye Tracking Technology in Human-Machine Co-driving System under the Background of Intelligent Vehicle Development

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  • @INPROCEEDINGS{10.4108/eai.24-5-2024.2350120,
        author={Bolin  Liu and Ge  Zhang and Yingdi  Cui},
        title={The Application of Eye Tracking Technology in Human-Machine Co-driving System under the Background of Intelligent Vehicle Development },
        proceedings={Proceedings of the 3rd International Conference on Art Design and Digital Technology, ADDT 2024, May 24--26, 2024, Luoyang, China},
        publisher={EAI},
        proceedings_a={ADDT},
        year={2024},
        month={9},
        keywords={human-computer interaction ; human-machine co-driving ; eye tracking technology ; automotive design},
        doi={10.4108/eai.24-5-2024.2350120}
    }
    
  • Bolin Liu
    Ge Zhang
    Yingdi Cui
    Year: 2024
    The Application of Eye Tracking Technology in Human-Machine Co-driving System under the Background of Intelligent Vehicle Development
    ADDT
    EAI
    DOI: 10.4108/eai.24-5-2024.2350120
Bolin Liu1, Ge Zhang1,*, Yingdi Cui1
  • 1: Jilin University
*Contact email: zgart@163.com

Abstract

This paper studies the application of eye tracking technology in intelligent vehicle human-computer interaction, and analyzes how eye tracking technology improves driving safety and interaction efficiency through theoretical models. A theoretical model of human-machine co-driving integrated with eye tracking technology is constructed, and the effects and challenges of the model in practical application are analyzed. Reasonable application of eye tracking technology can effectively improve the interaction quality and driving safety of human-machine co-driving system. This study explores the application potential of eye tracking technology in intelligent vehicle human-machine co-driving system and its specific impact on improving driving safety and interaction efficiency. In order to provide a new perspective and method for the design of human-computer interaction in intelligent vehicles, especially how to accurately capture the driver's behavior and psychological state through eye tracking technology, so as to optimize the cooperative work mode of human-computer co-driving. It aims to promote the development of eye tracking technology in the field of intelligent vehicle design.