| Head-up display is abbreviated as HUD.It is mounted on the vehicle and can present various driving information in the driver’s front view to assist the driver in completing the driving task.Investigating the impact of interface information of car-mounted HUD systems on driving behavior enables users to quickly and effectively capture interface content information and make safe judgments.Therefore,it is of great significance for improving driving safety and advancing research on interface information of car-mounted HUD systems.This topic combines situational awareness systems to explore the impact of dynamic and complex driving situations on drivers.It analyzes the composition of situational factors in cars and explores the process of situational awareness in driving.It clarifies that situational awareness needs to achieve moderation in its application process.Furthermore,it outlines the advantages of applying situational awareness in the design of automotive human-machine interfaces.By analyzing and deconstructing the information organization structure of the human-machine interface of the in-car HUD system,it was found that the current design of in-car HUD interfaces lacks uniform standards and principles,and the layout of the interface lacks standardization.The lack of clarity in information presentation priority will result in uneven allocation of the driver’s visual resources and attention,making it difficult for them to quickly identify driving situational information and make safe decisions.By conducting qualitative analysis and quantitative analysis of the weight of typical users’ information needs for the in-car HUD interface in various driving scenarios,hierarchical integration and functional transformation are used to reconstruct the in-car HUD interface information and clarify the priority of functional information importance.Taking typical driving scenarios as a starting point,through the study of users’ cognitive allocation of visual attention resources in the car HUD interface information layout cognition experiment,the core gaze area and secondary gaze area positions of the interface information layout are obtained,providing an objective basis for the layout arrangement of the car HUD interface information.Through the cognitive feature experiment of the information element size of the car HUD interface,the driver’s cognitive characteristics of the size of digital elements are explored in typical situations,providing size-based information for the design of the car HUD interactive interface.Based on the analysis of the design principles of the car HUD interface information organization and the analysis of the interface information layout arrangement,the interface organization structure layer is integrated and the visual presentation layer is fused to make the interface layout more in line with the driver’s visual behavior habits,thereby completing the design of the car HUD human-machine interaction interface.Finally,cognitive performance experiments and eye-tracking experiments are conducted to objectively evaluate the user’s cognitive performance ability,average gaze time,and gaze frequency in hazardous driving scenarios for the in-car HUD system interface application.The subjective quantitative evaluation is carried out through a scalebased method.The research results indicate that the HUD system interface application in this thesis has the ability to improve the cognitive performance of drivers,significantly reduce the driver’s perception time of hazardous driving situations,react more quickly to complex driving situations,and effectively enhance driving safety. |
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