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Evaluation of external HMI in autonomous vehicles based on pedestrian road crossing decision-making model

Submit Time: 2021-05-24
Author: 蒋倩妮 1 ; 庄想灵 1 ; 马国杰 1 ;
Institute: 1.陕西师范大学;


[英文摘要]For autonomous vehicles driven in road context with pedestrians, it is essential to ensure safe and efficient interaction with pedestrians. To that end, autonomous vehicles of high level (e.g. above L3) are usually equipped with an external human-machine interface (eHMIs) to communicate with pedestrians. An overview of current studies shows that the current external eHMIs mainly conveyed vehicle status (whether it is in auto mode), intentions, and road-crossing advice to pedestrians in visual modalities such as text, icon, projection, etc. These eHMIs have been evaluated to determine their effect on pedestrian’s crossing intention, speed, and accuracy in real as well as simulated contexts. However, a user-centered design of eHMIs should systematically support pedestrian information processing needs during road crossing decision making. To fill the gap, a conceptual model was proposed to capture pedestrian’s dynamic road crossing decision-making when interacting with autonomous vehicles. The model integrated pedestrian’s road crossing decision-making process and the situation awareness theory. Based on the model, eHMIs should promote pedestrian’s perception, comprehension, and the projection of the vehicle’s intention. To support the perception of the displayed information, eHMIs should adopt multiple modalities’ interfaces to convey the vehicle’s information, and consider presenting information on media beyond the vehicle, such as the street infrastructure and the electronics of pedestrians. To support comprehension of the displayed information, pedestrians need to be trained. More importantly, the information should be carefully designed with an appropriate massage perspective and standardized formats. In the projection phase, vehicle motion information as a traditional yet intuitive way to convey the vehicle’s future intentions can be strengthened and integrated with eHMI to assist faster and more accurate decision-making. Besides the simple one-to-one context of interaction, future research should also explore how the design of the interface impacts pedestrians in the context of multi-pedestrian and multi-vehicle contexts. Theoretically, exploration is also needed on how the eHMI supports the formation and update of their situation awareness and how it affects mental models in human-vehicle interactions.
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From: 庄想灵
Recommended references: 蒋倩妮,庄想灵,马国杰.(2021).自动驾驶汽车与行人交互中的沟通界面设计:基于行人过街决策模型的评估.[ChinaXiv:202105.00076] (Click&Copy)
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[V1] 2021-05-24 21:51:55 chinaXiv:202105.00076V1 Download
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