Factors influencing behavioral intentions to use conditionally automated vehicles
These findings suggest a need for targeted programs to enhance perceived usefulness and trust while addressing security and privacy concerns, ultimately contributing to safer road systems through the adoption of conditionally automated vehicles.
Authors
- Sjaan Koppel (ORCID: https://orcid.org/0000-0003-3973-299X)
- Joseph F. Hair (ORCID: https://orcid.org/0000-0002-9226-9693)
- Fareed Kaviani (ORCID: https://orcid.org/0000-0002-9202-2615)
- Judith Charlton (ORCID: https://orcid.org/0000-0002-5990-2151)
- Renée M. St. Louis (ORCID: https://orcid.org/0000-0002-4751-2420)
- Lisa J. Molnar (ORCID: https://orcid.org/0000-0002-9556-1761)
- Hayley McDonald (ORCID: https://orcid.org/0000-0002-6390-5005)
- Xin Zou (ORCID: https://orcid.org/0000-0002-8844-4866)
- David Logan (ORCID: https://orcid.org/0000-0002-4655-7731)
Institutions
- Michigan Department of Transportation (US)
- University of Michigan (US)
- Monash University (AU)
- University of South Alabama (US)
Publication Details
- Journal
- Journal of Safety Research
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1016/j.jsr.2024.10.006
- Citations
- 10
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 6.44