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Highly automated driving at SAE level 3 begets new challenges for the interaction between vehicle and driver. A central issue is the optimal design of takeover requests to ensure a fast and effective response from the driver. This study investigates whether parallel or sequential information transfer are more efficient. In a VR-supported simulation environment, test subjects are confronted with visual, acoustic and tactile warning signals in a critical takeover situation. The results show that sequential information transfer tends to lead to shorter reaction times, but no statistically significant difference was found. The study provides valuable insights for the design of future human-machine interfaces in autonomous driving.

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Effective Information Transfer in Autonomous Vehicle Systems: Simultaneous vs. Sequential Approaches

  • 会议论文

  • 发表日期：

    2025年

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  • Tobias Menking,
  • Alexander Müller,
  • Benjamin Elster,
  • Tobias Proettel

摘要

Highly automated driving at SAE level 3 begets new challenges for the interaction between vehicle and driver. A central issue is the optimal design of takeover requests to ensure a fast and effective response from the driver. This study investigates whether parallel or sequential information transfer are more efficient. In a VR-supported simulation environment, test subjects are confronted with visual, acoustic and tactile warning signals in a critical takeover situation. The results show that sequential information transfer tends to lead to shorter reaction times, but no statistically significant difference was found. The study provides valuable insights for the design of future human-machine interfaces in autonomous driving.