Cited by 52Social Robot Interaction and HRIHuman-Automation Interaction and SafetyAutonomous Vehicle Technology and Safety

Designing Communication Strategies of Autonomous Vehicles with Pedestrians: An Intercultural Study

Lanzer, Mirjam, Babel, Franziska, Yan, Fei, Zhang, Bihan, You, Fang, Wang, Jianmin, Baumann, Martin·2020·12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Abstract

Autonomous vehicles (AVs) have the opportunity to reduce accident and injury rates in urban areas and improve safety for vulnerable road users (VRUs). To realize these benefits, AVs have to communicate with VRUs like pedestrians. While there are proposed solutions concerning the visualization or modality of external human-machine interfaces, a research gap exists regarding the AVs’ communication strategy when interacting with pedestrians. Our work presents a comparative study of an autonomous delivery vehicle with three communication strategies ranging from polite to dominant in two scenarios, at a crosswalk or on the street. We investigated these strategies in an online-based video study in a German (N = 34) and a Chinese sample (N = 56) regarding compliance, acceptance and trust. We found that a polite strategy led to more compliance in the Chinese but not the German sample. However, the polite strategy positively affected trust and acceptance of the AV in both samples equally.

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Crossref · 10.1145/3409120.3410653

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  • To cause an attitude-behaviour change intervention, governments may impose incentives or restrictions on private and public transportation.

    “To cause an attitudebehaviour change intervention, governments may impose incentives or restrictions on private and public transportation [51].”

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Authors
Lanzer, M., Babel, F., Yan, F., Zhang, B., You, F., Wang, J., & Baumann, M.
Affiliations
  • Universität Ulm (DE)
  • Tongji University (CN)
Venue
12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Publisher
ACM
Published
2020-09-20
Pages
122-131
OpenAlex
W3085913292
Cited by
52
References
4
Citations by year
2026: 5 · 2025: 11 · 2024: 11 · 2023: 13 · 2022: 6 · 2021: 6
FWCI
8.82
Type
conference paper
Language
en
Open access
closed
Locations
International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
Keywords
autonomous vehicles, human-machine communication, pedestrian interaction, communication strategies, autonomous delivery vehicles, vulnerable road users, trust in autonomous vehicles, compliance, cross-cultural comparison

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