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Comprehensive Feedback Module Comparison for Autonomous Vehicle-Pedestrian Communication in Virtual Reality

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Social Robotics (ICSR 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14453 ))

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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.

Supported by Nevada NASA Space Grant Consortium (80NSSC20M00043). This material is based upon work supported under the AI Research Institutes program by National Science Foundation and the Institute of Education Sciences, U.S. Department of Education through Award # 2229873 - AI Institute for Transforming Education for Children with Speech and Language Processing Challenges. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation, the Institute of Education Sciences, or the U.S. Department of Education.

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Author information

Authors and Affiliations

  1. University of Nevada, Reno, 1664 N. Virginia Street, Reno, NV, 89557 -0171, USA

    Melanie Schmidt-Wolf, Eelke Folmer & David Feil-Seifer

Authors
  1. Melanie Schmidt-Wolf
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  2. Eelke Folmer
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  3. David Feil-Seifer
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Corresponding author

Correspondence to Melanie Schmidt-Wolf .

Editor information

Editors and Affiliations

  1. Qatar University, Doha, Qatar

    Abdulaziz Al Ali

  2. Qatar University, Doha, Qatar

    John-John Cabibihan

  3. Qatar University, Doha, Qatar

    Nader Meskin

  4. University of Naples Federico II, Napoli, Italy

    Silvia Rossi

  5. Qingdao University, Qingdao, China

    Wanyue Jiang

  6. The University of Alabama, Tuscaloosa, AL, USA

    Hongsheng He

  7. National University of Singapore, Queenstown, Singapore

    Shuzhi Sam Ge

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Schmidt-Wolf, M., Folmer, E., Feil-Seifer, D. (2024). Comprehensive Feedback Module Comparison for Autonomous Vehicle-Pedestrian Communication in Virtual Reality. In: Ali, A.A., et al. Social Robotics. ICSR 2023. Lecture Notes in Computer Science(), vol 14453 . Springer, Singapore. https://doi.org/10.1007/978-981-99-8715-3_34

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  • DOI: https://doi.org/10.1007/978-981-99-8715-3_34

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  • Online ISBN: 978-981-99-8715-3

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