Around the World in 60 Cyclists: Evaluating Autonomous Vehicle-Cyclist Interfaces Across Cultures

Cultural differences influence how cyclists and drivers interact, affecting global autonomous vehicle (AV) adoption. AV-cyclist interfaces are needed to clarify AV intentions and resolve ambiguities when no human driver is present. These must adapt across cultures and road infrastructure. We conducted the first cross-cultural AV-cyclist user study across Stockholm (high segregation of cyclists from drivers), Glasgow (some segregation), and Muscat (no segregation). Cyclists used an AR simulator to cycle in physical space and experienced three holistic AV-cyclist interfaces. These integrated multiple interfaces into a larger ecosystem, e.g., a smartwatch synchronised with on-vehicle eHMI. Interfaces communicated AV location, intentions, or both. Riders from all cities preferred combined AV location and intention information but used it differently. Stockholm cyclists focused on location, validating intentions with driving behaviour. Glasgow riders valued both cues equally. Muscat cyclists trusted interfaces, prioritising intentions without relying on driving behaviour. These insights are key for global AV adoption.

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Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1145/3706598.3713407
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
2.44
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article

Around the World in 60 Cyclists: Evaluating Autonomous Vehicle-Cyclist Interfaces Across Cultures

Stephen Brewster, Ammar Al-Taie, Joseph O’Hagan, Frank Pollick et al.
1 citations
Human-Automation Interaction and Safety
2.44
article

Around the World in 60 Cyclists: Evaluating Autonomous Vehicle-Cyclist Interfaces Across Cultures

Stephen Brewster, Ammar Al-Taie, Joseph O’Hagan, Frank Pollick, Andrii Matviienko
article en
1 citations

Abstract

Cultural differences influence how cyclists and drivers interact, affecting global autonomous vehicle (AV) adoption. AV-cyclist interfaces are needed to clarify AV intentions and resolve ambiguities when no human driver is present. These must adapt across cultures and road infrastructure. We conducted the first cross-cultural AV-cyclist user study across Stockholm (high segregation of cyclists from drivers), Glasgow (some segregation), and Muscat (no segregation). Cyclists used an AR simulator to cycle in physical space and experienced three holistic AV-cyclist interfaces. These integrated multiple interfaces into a larger ecosystem, e.g., a smartwatch synchronised with on-vehicle eHMI. Interfaces communicated AV location, intentions, or both. Riders from all cities preferred combined AV location and intention information but used it differently. Stockholm cyclists focused on location, validating intentions with driving behaviour. Glasgow riders valued both cues equally. Muscat cyclists trusted interfaces, prioritising intentions without relying on driving behaviour. These insights are key for global AV adoption.

University of Glasgow (GB), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 14%
Human-Automation Interaction and Safety
2.44
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