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In-Vehicle Customized AR-HUD Design to Provide Driving Safety Information Based on User Mental Model

張, 寒 筑波大学 DOI:10.15068/0002006315

2023.02.16

概要

In recent years, the continuous development of in-vehicle information systems has dramatically enriched the driver’s driving experience while also occupying the driver’s cognitive resources to varying degrees and causing driving distractions. With this complex information system, effectively managing the complexity of information and further improving driving safety has become a critical issue that needs to be addressed in-vehicle information systems. At present, a new interaction method that incorporates AR (augmented reality) and HUD (head-up display) into in-vehicle information systems is gaining widespread attention. It superimposes each in-vehicle information into a real driving scenario, meeting the needs of complex tasks while improving driving safety. As a result, studying AR HUD information architecture is essential for understanding how the in-vehicle information system can efficiently handle information complexity while improving driving safety.

This study applied AR-HUD technology to the in-vehicle navigation system and designed a customized AR-HUD interface based on beginner and skilled drivers’ driving behavior and information needs. The design interface of the system is studied to construct information organization guidelines and visual design strategies for the in-vehicle AR-HUD interface.

In order to verify the effectiveness of the proposed custom AR-HUD interface in the target group, this study used the AR-HUD interface to assist driving behavior as an entry point to prove that the AR-HUD interface can improve drivers’ driving behavior and reduce the information recognition load.

The main research work is structured as follows:

1. Researched and analyzed target users’ driving situations and behaviors through qualitative research methods of questionnaires and interviews. Indepth exploration of users’ information needs and conduct information structure layering based on the user’s mental model to avoid the problem of too much or too little information displayed during the driving process.

2. Completed the information module construction (HUD) and the ARHUD interface’s status module (AR) design based on the interface design principles. Additionally, the route and interaction designs are based on four of Japan’s most common road situations. In the icon design, we tested the cognitive evaluation of visual elements to ensure that users could rapidly understand the semantics of the HUD.

3. The impacts of the in-vehicle AR-HUD system on the driver’s eye movement behavior and responsiveness while driving was analyzed using a mix of descriptive statistics, box-line plots, and non-parametric tests. Additionally, we evaluated the effectiveness of the AR-HUD interface by developing a hierarchical evaluation index system for the AR-HUD interface based on driver driving behavior. The study results show that in terms of eye-movement behavior, AR-HUD can significantly reduce the attention time of drivers looking down at the H area while can improve the attention of beginners to the dangerous interest area when driving in the urban road. The AR-HUD interface can significantly reduce the participants’ perception of hazardous driving situations in terms of reaction time.

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