1330073
Dr Sherrie-Anne Kaye
Faculty of Health,
School of Psychology & Counselling
Biography
Dr Sherrie-Anne Kaye (BBehavSc(Hons), PhD) is a Senior Research Fellow at CARRS-Q. Sherrie has worked in road safety research since 2010 and is particularly interested in examining users' acceptance of advanced vehicle technologies. She has extensive experience designing and undertaking both qualitative and quantitative research and has worked on various projects involving young drivers, road safety advertising, speeding behaviour, and cognitive functioning. Her PhD research applied neurological and cognitive measures to examine the extent to which individual differences in reward and punishment sensitivities influenced young drivers processing and acceptance of speeding-related road safety messages.Research Interests:
- Technology acceptance
- Automated vehicles
- Young drivers
- Speeding behaviour
- Hand-held mobile phone use
- Road safety advertising
- Individual differences (reward and punishment sensitivities, sensation seeking, and impulsivity)
Personal details
Positions
- Senior Research Fellow
Faculty of Health,
School of Psychology & Counselling
Keywords
Psychology, Road Safety, Risky driving behaviours, Prosocial driving behaviours, Advanced vehicle technologies, User acceptance, Behaviour change
Research field
Other psychology, Public health
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- PhD (Queensland University of Technology)
Publications
- Kaye, S., Senserrick, T., Oviedo-Trespalacios, O. & Nandavar, S. (2023). Exploring the factors influencing acquisition and learning experiences of cars fitted with advanced driver assistance systems (ADAS). Transportation Research Part F: Traffic Psychology and Behaviour, 94, 341–352. https://eprints.qut.edu.au/238375
- Li, X., Kaye, S., Afghari, A. & Oviedo-Trespalacios, O. (2023). Sharing roads with automated vehicles: A questionnaire investigation from drivers', cyclists' and pedestrians' perspectives. Accident Analysis and Prevention, 188. https://eprints.qut.edu.au/239707
- Kelly, S., Kaye, S. & Oviedo-Trespalacios, O. (2023). What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics, 77. https://eprints.qut.edu.au/236955
- Kaye, S., Nandavar, S., Yasmin, S., Lewis, I. & Oviedo-Trespalacios, O. (2022). Consumer knowledge and acceptance of advanced driver assistance systems. Transportation Research Part F: Traffic Psychology and Behaviour, 90, 300–311. https://eprints.qut.edu.au/235222
- Kaye, S., Li, X., Oviedo-Trespalacios, O. & Afghari, A. (2022). Getting in the path of the robot: Pedestrians' acceptance of crossing roads near fully automated vehicles. Travel Behaviour and Society, 26, 1–8. https://eprints.qut.edu.au/212755
- Kaye, S., Rodwell, D., Watson-Brown, N., Rose, C. & Buckley, L. (2022). Road users' engagement in prosocial and altruistic behaviors: A systematic review. Journal of Safety Research, 82, 342–351. https://eprints.qut.edu.au/232836
- Senserrick, T., Oviedo-Trespalacios, O., Rodwell, D. & Kaye, S. (2021). Driver Education and training for new drivers: Moving beyond current 'wisdom' to new directions. In R. Vickerman (Ed.), International Encyclopedia of Transportation: Volume 7, Transport Psychology, Transport Sustainability and Health(Vol. 7, pp. 158–164). Elsevier. https://eprints.qut.edu.au/237017
- Kaye, S., Somoray, K., Rodwell, D. & Lewis, I. (2021). Users' acceptance of private automated vehicles: A systematic review and meta-analysis. Journal of Safety Research, 79, 352–367. https://eprints.qut.edu.au/214206
- Kaye, S., Demmel, S., Oviedo-Trespalacios, O., Griffin, W. & Lewis, I. (2021). Young drivers' takeover time in a conditional automated vehicle: The effects of hand-held mobile phone use and future intentions to use automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 78, 16–29. https://eprints.qut.edu.au/208171
- Kaye, S., Lewis, I., Forward, S. & Delhomme, P. (2020). A priori acceptance of highly automated cars in Australia, France, and Sweden: A theoretically-informed investigation guided by the TPB and UTAUT. Accident Analysis and Prevention, 137, 1–11. https://eprints.qut.edu.au/199334
QUT ePrints
For more publications by Sherrie-Anne, explore their research in QUT ePrints (our digital repository).
Selected research projects
- Title
- Examining Barriers Associated with the Uptake and Acceptability of Advanced Rider Assistance Systems
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- RSIF2-34
- Start year
- 2021
- Keywords
Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.
Supervision
Current supervisions
- Investigating Injury Severity in Motor Vehicle Crashes: Insights from Police-Hospital Linked Data
PhD, Associate Supervisor
Other supervisors: Professor Shimul (Md. Mazharul) Haque, Associate Professor Angela Watson - PhD, Associate Supervisor
Other supervisors: Professor Shimul (Md. Mazharul) Haque, Professor Ronald Schroeter - PhD, Principal Supervisor
Other supervisors: Adjunct Associate Professor Mark King, Emeritus Professor Barry Watson, Professor Ioni Lewis - Give and Take: Human Decision-Making Towards Artificial Intelligence Use Intentions and Data Provision
PhD, Principal Supervisor
Other supervisors: Dr Oscar Oviedo Trespalacios, Professor Katherine White - Breaking The Cycle of Problematic Phone Use and Distraction on The Road: The Role of The Human-Machine-Interface (HMI)
PhD, Associate Supervisor
Other supervisors: Associate Professor Amina Tariq, Adjunct Associate Professor Mark King, Dr Oscar Oviedo Trespalacios - PhD, Principal Supervisor
Other supervisors: Adjunct Professor Teresa Senserrick, Dr Oscar Oviedo Trespalacios, Dr Natalie Watson-Brown - Augmenting the prognostic utility of current methods of predicting persistent postconcussion symptoms (PPCS): social cognitive and interoceptive impairments as possible predictors of PPCS
PhD, Associate Supervisor
Other supervisors: Professor Karen Sullivan
Completed supervisions (Doctorate)
The supervisions listed above are only a selection.