Existing research on driver attention have mainly focused on gaze responses to various driving factors and interactive patterns. Despite the major roles of vehicle motion states and driver inputs in advanced driver assistance systems, only a few studies have been conducted on the relationships between driver's attention patterns and vehicle dynamics during naturalistic lane change. This study aims to identify the correlations between variables related to driver's attention patterns, steering input and vehicle lateral motion states responses in natural single lane change. We conducted experiments on public roads with twenty participants. Metrics based on glance duration, steering angle, yaw rate and lateral acceleration were analyzed. The results suggest that driver steering input and vehicle lateral motion states are obviously decoupled from the attention patterns, both in terms of the temporal dynamics and the holistic driving task, while on the other hand, to perform the lane change, strong correlations were observed in the trends of the central tendency among data frames, requiring a certain degree of attention to be dispersedly accumulated. This study will benefit the research on visual information-based human-vehicle interactive system design.


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    Title :

    Investigating Visual Attention and Vehicle Dynamics: A Study of Naturalistic Lane Change


    Contributors:
    Chu, Yuan (author) / Ji, Xuewu (author)


    Publication date :

    2024-09-24


    Size :

    1996121 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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