车外人机交互界面通过加强自动驾驶车辆与行人、骑行者等道路使用者的沟通，提升交通安全和用户体验。探讨车外界面的可识别性是确保信号功能有效和可理解的基础，以保障行人过街安全。以信息表达形式、界面位置、自动驾驶汽车速度为自变量，采用眼动追踪技术，收集眼动数据和行为数据。通过重复测量方差分析和Logistic回归评估界面的可识别性。结果显示，界面信息形式、位置和车辆速度对可识别性有显著影响，光带可识别性最优；车辆低速行驶下界面识别效率更高；界面位于P3位置时识别效率最高，P1和P4位置最低。该研究从增强行人交通安全的视角，为行驶中的自动驾驶汽车车外交互界面设计提供了参考，有助于提高行人对车外界面的注意力和识别准确性。

The external human-machine interface is used to enhance communication between autonomous vehicles and road users like pedestrians and cyclists, thus traffic safety and user experience are improved. The recognizability of the external interface is considered the foundation for ensuring effective and understandable signal functions, and it is explored to ensure pedestrians crossing safety. The form of information expression, interface location, and the speed of autonomous vehicles were considered as independent variables, and eye-tracking technology was used to collect eye movement and behavioral data. The identifiability of the interface was evaluated through repeated measures analysis of variance and logistic regression. The results show that the form of interface information, location, and vehicle speed significantly affect identifiability. The light band has the best identifiability; higher recognition efficiency is observed when the vehicle is traveling at a low speed; and the highest recognition efficiency is found when the interface is at P3, while the lowest is noted at P1 and P4. From the perspective of enhancing pedestrian traffic safety, this study provides a reference for the design of the external interface of autonomous vehicle while driving, and helps to improve pedestrian attention and recognition accuracy of the external interface.