Not Always Good: Mitigating Pedestrians’ Less Careful Crossing Behavior by External Human-Machine Interfaces on Automated Vehicles

Author:

Lee Jieun1ORCID,Daimon Tatsuru2ORCID

Affiliation:

1. Department of Safety Engineering, College of Engineering, Pukyong National University, Busan, Republic of Korea

2. Faculty of Science and Technology, Keio University, Yokohama, Japan

Publisher

Informa UK Limited

Reference53 articles.

1. An experimental study to investigate design and assessment criteria: What is important for communication between pedestrians and automated vehicles?

2. Ackermans, S., Dey, D., Ruijten, P., Cuijpers, R. H., & Pfleging, B. (2020, April). The effects of explicit intention communication, conspicuous sensors, and pedestrian attitude in interactions with automated vehicles [Paper presentation]. Proceedings of the 2020 Chi Conference on Human Factors in Computing Systems (pp. 1–14). https://doi.org/10.1145/3313831.3376197

3. Survey on eHMI concepts: The effect of text, color, and perspective

4. How should external human-machine interfaces behave? Examining the effects of colour, position, message, activation distance, vehicle yielding, and visual distraction among 1,434 participants

5. From HMI to HMIs: Towards an HMI Framework for Automated Driving

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