Configuring user information by considering trust threatening factors associated with automated vehicles
BACKGROUND: The accelerated development of automated driving technology has raised the expectation that commercially available automated vehicles will be increasingly become ubiquitous. It has been claimed that automated vehicles are safer than conventional manual vehicles, leading to the expectation of fewer accidents. However, people expect not only better but also near-perfect machines. Given that accidents involving automated vehicle do occur and are highlighted by the media, negative reactions toward automated vehicles have increased. For this reason, it is critical to research human–machine interaction to develop suitable levels of trust between human users and newly introduced automated vehicle systems. METHOD: We start this study by defining user distrust toward automated vehicles in terms of four types of trust threatening factors (TTFs) along with trust-threatening situations. Next, with 30 volunteer participants, we conduct a survey and a humanin-the-loop experiment involving riding in a simulated automated vehicle and experiencing 21 distrust scenarios. RESULT: In terms of the information configuration type suitable for alleviating the TTFs, the participants preferred to receive information on external object recognition for all TTFs in general with an average necessity level score of 24.2, which was 8.0 points higher on average than the scores of the other information configuration types. The haptic modality-based method was the least preferred compared to the other information configuration methods, namely visual and auditory. CONCLUSION: In this study, we focused on participants’ subjective responses and complementary quantitative studies, and the results of these studies put together are expected to serve as a foundation for designing a user interface that can induce trust toward automated vehicle among users.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18668887
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Supplemental Notes:
- © 2022 Hanna Yun and Ji Hyun Yang. The contents of this paper reflect the views of the author[s] and do not necessarily reflect the official views or policies of the Transportation Research Board or the National Academy of Sciences.
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Authors:
- Yun, Hanna
- Yang, Ji Hyun
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0000-0002-8349-6931
- Publication Date: 2022-1
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: 9
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Serial:
- European Transport Research Review
- Volume: 14
- Issue Number: 1
- Publisher: Springer Publishing
- ISSN: 1866-8887
- EISSN: 1867-0717
- Serial URL: http://link.springer.com/journal/12544
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Attitudes; Human machine systems; Intelligent vehicles; User interfaces (Computer science)
- Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01846476
- Record Type: Publication
- Files: TRIS
- Created Date: May 24 2022 10:08AM