Cited by 32Human-Automation Interaction and SafetyAutonomous Vehicle Technology and SafetyTechnology Adoption and User Behaviour

Assessing Truck Drivers’ and Fleet Managers’ Opinions Towards Highly Automated Driving

Richardson, Natalie, Doubek, Fabian, Kuhn, Kevin, Stumpf, Annika·2017·Advances in Intelligent Systems and Computing

Integrity signals

Registry

Crossref · 10.1007/978-3-319-41682-3_40

Cites

18 of 18 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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  • In Rezaei and Caulfield survey, 71% believe manufacturers should be liable, 22% insurance companies.

    “Additionally, 71% of the respondents believe that AVs’ manufacturers should be the liable agency in case of accident, while 22% believe that insurance companies should be liable [198].”
  • Rezaei and Caulfield survey shows people are not at all willing to accept liability for AVs.

    “A second survey by Rezaei, and Caulfield show that people are not at all willing to accept liability for AVs.”
  • In Rezaei and Caulfield survey, almost 60% believe they must not be liable, 14% believe they should be liable.

    “Results show that almost 60% of the respondents believe they must not be liable in case of accident, while only 14% believe they should be liable.”

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Authors
Richardson, N., Doubek, F., Kuhn, K., & Stumpf, A.
Affiliations
Technical University of Munich (DE)
Corresponding author
Richardson, Natalie
Venue
Advances in Intelligent Systems and Computing
Published
2016-07-07
Pages
473-484
ISSN
  • 2194-5357 (ISSN-L)
  • 2194-5365
OpenAlex
W2480563971
Cited by
32
References
18
Citations by year
2026: 1 · 2025: 1 · 2024: 4 · 2023: 5 · 2022: 3 · 2021: 4 · 2020: 1 · 2019: 5 · 2018: 5 · 2017: 2 · 2016: 1
FWCI
19.26
Type
book chapter
Language
en
Open access
closed
Locations
Advances in intelligent systems and computing (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
  • Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
Keywords
highly automated driving, truck drivers, fleet managers, technology acceptance, driver attitudes, long-haul trucking, legal liability, driving safety, transport companies

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