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Will It Yield: Expectations on Automated Shuttle Bus Interactions With Pedestrians and Bicyclists
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences.ORCID iD: 0000-0003-0098-5391
Linköping University, Faculty of Arts and Sciences. Linköping University, Department of Behavioural Sciences and Learning, Disability Research Division.ORCID iD: 0000-0002-2379-9201
The Swedish National Road and Transport Research Institute, Linköping, Sweden.ORCID iD: 0000-0002-4790-7094
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6883-2450
2023 (English)In: HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, Association for Computing Machinery (ACM), 2023, p. 292-296Conference paper, Published paper (Refereed)
Abstract [en]

Autonomous vehicles that operate on public roads need to be predictable to others, including vulnerable road users. In this study, we asked participants to take the perspective of videotaped pedestrians and cyclists crossing paths with an automated shuttle bus, and to (1) judge whether the bus would stop safely in front of them and (2) report whether the bus's actual stopping behavior accorded with their expectations. The results show that participants expected the bus to brake safely in approximately two thirds of the human-vehicle interactions, more so to pedestrians than cyclists, and that they tended to underestimate rather than overestimate the bus's capability to yield in ways that they considered as safe. These findings have implications for the design and implementation of automated shuttle bus services.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2023. p. 292-296
Keywords [en]
automated shuttles, transport, expectations, vulnerable road users
National Category
Psychology
Identifiers
URN: urn:nbn:se:liu:diva-192876DOI: 10.1145/3568294.3580091ISI: 001054975700054Scopus ID: 2-s2.0-85150443012ISBN: 9781450399708 (electronic)OAI: oai:DiVA.org:liu-192876DiVA, id: diva2:1748694
Conference
ACM/IEEE International Conference on Human-Robot Interactionn, March 13–16, 2023, Stockholm, Sweden
Note

Funding: ELLIIT, the Excellence Center at Linkoping-Lund in Information Technology; Swedish Research Council (VR) [2022-04602]

Available from: 2023-04-04 Created: 2023-04-04 Last updated: 2023-10-11Bibliographically approved

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Thellman, SamMarsja, ErikZiemke, Tom

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Citation style
  • apa
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