Augmented Reality Head-Up Display technology (AR-HUD), which combines graphical information with real-world scenes, brings users a better interaction experience. However, too much virtual information on AR-HUD might distract the driver’s attention and even cause traffic accidents. To explore this, how to present the diverse information prompts clearly to users and balance driving performance with the interface design becomes particularly important. In this study, we first analyze the product of AR-HUD automotive interaction interfaces in the current market. Then, our search results yielded 29 articles and discussed and summarized the influences of AR-HUD on driving behavior from the perspectives of humans, machines, and the environment. Finally, the paper provides the potential design guidelines for AR-HUD. The results showed that information based on AR elements, such as number, display color, transparency, and so on, could be automatically adjusted in different scenarios, and the design also requires displaying the types of information to match the demands of different task levels during driving. Additionally, subsequent design should consider the principles of visual attention allocation to offer augmented information types as quickly as possible to avoid dangers.

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The Effect of Augmented Reality Head-up Display Interface Layout on Driving Behavior: A Systematic Literature Review

  • Jingjing Cao,
  • Yanling Zuo,
  • Peggy Wang,
  • Jia Zhou

摘要

Augmented Reality Head-Up Display technology (AR-HUD), which combines graphical information with real-world scenes, brings users a better interaction experience. However, too much virtual information on AR-HUD might distract the driver’s attention and even cause traffic accidents. To explore this, how to present the diverse information prompts clearly to users and balance driving performance with the interface design becomes particularly important. In this study, we first analyze the product of AR-HUD automotive interaction interfaces in the current market. Then, our search results yielded 29 articles and discussed and summarized the influences of AR-HUD on driving behavior from the perspectives of humans, machines, and the environment. Finally, the paper provides the potential design guidelines for AR-HUD. The results showed that information based on AR elements, such as number, display color, transparency, and so on, could be automatically adjusted in different scenarios, and the design also requires displaying the types of information to match the demands of different task levels during driving. Additionally, subsequent design should consider the principles of visual attention allocation to offer augmented information types as quickly as possible to avoid dangers.