research-article

Pedestrian-Vehicle Interaction in Shared Space: Insights for Autonomous Vehicles

Authors:

Luke Hespanhol,

Stewart Worrall, and

Martin TomitschAuthors Info & Claims

AutomotiveUI '22: Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 2022

Pages 330 - 339

https://doi.org/10.1145/3543174.3546838

Published: 17 September 2022 Publication History

Abstract

Shared space reduces segregation between vehicles and pedestrians and encourages them to share roads without imposed traffic rules. The behaviour of road users (RUs) is then controlled by social norms, and interactions are more versatile than on traditional roads. Autonomous vehicles (AVs) will need to adapt to these norms to become socially acceptable RUs in shared spaces. However, to date, there is not much research into pedestrian-vehicle interaction in shared-space environments, and prior efforts have predominantly focused on traditional roads and crossing scenarios. We present a video observation investigating pedestrian reactions to a small, automation-capable vehicle driven manually in shared spaces based on a long-term naturalistic driving dataset. We report various pedestrian reactions (from movement adjustment to prosocial behaviour) and situations pertinent to shared spaces at this early stage. Insights drawn can serve as a foundation to support future AVs navigating shared spaces, especially those with a high pedestrian focus.

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Cited By

Brill SPayre WDebnath AHoran BBirrell S(2023)External Human–Machine Interfaces for Automated Vehicles in Shared Spaces: A Review of the Human–Computer Interaction LiteratureSensors10.3390/s2309445423:9(4454)Online publication date: 2-May-2023
https://doi.org/10.3390/s23094454
Dongas RGrace KGillespie SHoggenmueller MTomitsch MWorrall S(2023)Virtual Urban Field Studies: Evaluating Urban Interaction Design Using Context-Based Interface PrototypesMultimodal Technologies and Interaction10.3390/mti70800827:8(82)Online publication date: 18-Aug-2023
https://doi.org/10.3390/mti7080082
Yu XWang YTran TZhao YBerrio Perez JHoggenmüller MHumphry JLoke LMasuda LParker CTomitsch MWorrall S(2023)Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public EnvironmentsProceedings of the 35th Australian Computer-Human Interaction Conference10.1145/3638380.3638440(701-705)Online publication date: 2-Dec-2023
https://dl.acm.org/doi/10.1145/3638380.3638440
Show More Cited By

Index Terms

Pedestrian-Vehicle Interaction in Shared Space: Insights for Autonomous Vehicles
1. Human-centered computing
  1. Interaction design
    1. Empirical studies in interaction design

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cover image ACM Conferences

AutomotiveUI '22: Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 2022

371 pages

ISBN:9781450394154

DOI:10.1145/3543174

General Chairs:
Yong Gu Ji
Yonsei University, South Korea
,
Myounghoon Jeon
Virginia Tech, USA

Copyright © 2022 ACM.

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Published: 17 September 2022

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AutomotiveUI '22

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AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

September 17 - 20, 2022

Seoul, Republic of Korea

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Overall Acceptance Rate 248 of 566 submissions, 44%

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Cited By

Brill SPayre WDebnath AHoran BBirrell S(2023)External Human–Machine Interfaces for Automated Vehicles in Shared Spaces: A Review of the Human–Computer Interaction LiteratureSensors10.3390/s2309445423:9(4454)Online publication date: 2-May-2023
https://doi.org/10.3390/s23094454
Dongas RGrace KGillespie SHoggenmueller MTomitsch MWorrall S(2023)Virtual Urban Field Studies: Evaluating Urban Interaction Design Using Context-Based Interface PrototypesMultimodal Technologies and Interaction10.3390/mti70800827:8(82)Online publication date: 18-Aug-2023
https://doi.org/10.3390/mti7080082
Yu XWang YTran TZhao YBerrio Perez JHoggenmüller MHumphry JLoke LMasuda LParker CTomitsch MWorrall S(2023)Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public EnvironmentsProceedings of the 35th Australian Computer-Human Interaction Conference10.1145/3638380.3638440(701-705)Online publication date: 2-Dec-2023
https://dl.acm.org/doi/10.1145/3638380.3638440
Yang BYan SWang ZNakano K(2023)Prediction Based Trajectory Planning for Safe Interactions Between Autonomous Vehicles and Moving Pedestrians in Shared SpacesIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2023.328115724:10(10513-10524)Online publication date: Oct-2023
https://doi.org/10.1109/TITS.2023.3281157
Rao SGhosh SRodriguez GRöggla TCesar PEl Ali A(2023)From Video to Hybrid Simulator: Exploring Affective Responses toward Non-Verbal Pedestrian Crossing Actions Using Camera and Physiological SensorsInternational Journal of Human–Computer Interaction10.1080/10447318.2023.222495539:16(3213-3236)Online publication date: 4-Jul-2023
https://doi.org/10.1080/10447318.2023.2224955

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