I, AV: A Ghost Driver Field Study Exploring the Application of Anthropomorphism in AV-Pedestrian Communication

Large, David R.; Hallewell, Madeline; Li, Xuekun; Harvey, Catherine; Burnett, Gary

Abstract

We employed the 'Ghost Driver' methodology to emulate an autonomous vehicle (AV) and explored pedestrians' (n=520) crossing behaviour in response to external human-machine interfaces (eHMIs). Three eHMI designs were created to replace absent pedestrian-driver communication; each had different anthropomorphic elements and were identified as 'explicit', 'implicit' and 'low' to reflect the conspicuity of anthropomorphism. They were displayed on an LED matrix and strip mounted to the front of a Nissan Leaf vehicle, which was driven around the University campus over 5 days. Video analysis highlighted differences in pedestrians' behaviour, with the explicit anthropomorphism eHMI extending crossing time and attracting more visual attention. Additionally, some pedestrians continued to use gestures, ostensibly to indicate their intention to cross or to thank the vehicle, despite the absence of a visible driver. While preliminary findings support the application of anthropomorphism in AV-pedestrian communications, further research will explore designs in more controlled, experimental settings.

Citation

Large, D. R., Hallewell, M., Li, X., Harvey, C., & Burnett, G. (2023, September). I, AV: A Ghost Driver Field Study Exploring the Application of Anthropomorphism in AV-Pedestrian Communication. Presented at 15th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, Ingolstadt, Germany

• Presentation Conference Type: Edited Proceedings
• Conference Name: 15th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications
• Start Date: Sep 18, 2023
• End Date: Sep 21, 2023
• Acceptance Date: Jul 16, 2023
• Publication Date: Sep 18, 2023
• Deposit Date: Aug 22, 2023
• Publicly Available Date: Sep 18, 2023
• Publisher: Association for Computing Machinery (ACM)
• Pages: 127-132
• Book Title: AutomotiveUI '23 Adjunct: Adjunct Proceedings of the 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
• ISBN: 9798400701122
• DOI: https://doi.org/10.1145/3581961.3609883
• Keywords: Ghost Driver, eHMI, Anthropomorphism, Pedestrian, Vulnerable Road User
• Public URL: https://nottingham-repository.worktribe.com/output/24575941
• Publisher URL: https://dl.acm.org/doi/10.1145/3581961.3609883
• Related Public URLs: https://www.auto-ui.org/23/