Publication Details
- Keywords:
- autonomous vehicle
Abstract
Autonomous driving technologies can minimize accidents. Communication from an autonomous vehicle to a pedestrian with a feedback module will improve the pedestrians’ safety in autonomous driving. We compared several feedback module options in a Virtual Reality environment to identify which module best increases public acceptance, legibility, and trust in the autonomous vehicle’s decision, and to identify preference. The results of this study show that participants prefer symbols or text over lights and road projection with no significant difference between symbols and text. Further, our results show that the preferred text interaction mode option when the vehicle is not driving is “Walk,” “Safe to cross,” “Go ahead” and “Waiting”, and the preferred symbol interaction mode option is the walking person as on a traffic light, with no significant preference between the cross advisory symbol and the pedestrian crossing sign.
Author Details
Name: | Melanie Schmidt-Wolf |
email: | mschmidtwolf@unr.edu |
Status: | Active |
Name: | Eelke Folmer |
Status: | Inactive |
Name: | David Feil-Seifer | |
email: | dave@cse.unr.edu | |
Website: | http://cse.unr.edu/~dave | |
Phone: | (775) 784-6469 | |
Status: | Active |
BibTex Reference
title={Comprehensive Feedback Module Comparison for Autonomous Vehicle-Pedestrian Communication in Virtual Reality},
author={Melanie Schmidt-Wolf and Eelke Folmer and David Feil-Seifer},
year={2023},
month={October},
address={Doha, Qatar},
booktitle={International Conference on Social Robotics (ICSR2023)},
}
HTML Reference
Support
AI Institute for Transforming Education for Children with Speech and Language Processing Challenges, National Science Foundation PI: Venugopal Govindaraju, co-PI: David Feil-Seifer, Amount: $20,000,000, Jan. 15, 2023 - Dec. 31, 2027