
PhD (Queensland University of Technology)
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)
Projects
- A theoretically-based cross-cultural comparison of public acceptance of, and intentions to use automated vehicles
- Cooperative and Highly Automated Driving (CHAD) Safety Study
- Evaluation of the Road Attitudes and Action Program (RAAP)
- Examining barriers associated with the uptake and acceptability of Advanced Rider Assistance Systems
- Exploring the Road Users' Receptivity to Share Roads with Highly Automated Vehicles
- Mobile phone use while operating a conditional automated vehicle: The effects on young drivers' takeback control
- Monitoring and evaluation of the trial introducing a 40km/h speed limit around stationary emergency vehicles
- Older drivers: Advanced driving assistance technologies and AVs
- PhD Research: Can Automated Vehicles be safer by sharing the Vehicle's Intended Pathway via an Augmented Reality Head-Up Display?
- Tasmania Graduated Driver Licensing System Evaluation
Additional information
- 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
- Pascale, M., Rodwell, D., Coughlan, P., Kaye, S., Demmel, S., Ghasemi Dehkordi, S., Bond, A., Lewis, I., Rakotonirainy, A. & Glaser, S. (2021). Passengers’ acceptance and perceptions of risk while riding in an automated vehicle on open, public roads. Transportation Research Part F: Traffic Psychology and Behaviour, 83, 274–290. https://eprints.qut.edu.au/226313
- 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
- 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/210478
- 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
- Oviedo Trespalacios, O., Briant, O., Kaye, S. & King, M. (2020). Assessing driver acceptance of technology that reduces mobile phone use while driving: The case of mobile phone applications. Accident Analysis and Prevention, 135, 1–9. https://eprints.qut.edu.au/134987
- Basse, M., Twisk, D. & Kaye, S. (2020). Pro-social behaviour in young passengers: Predictive utility of the social reaction pathway of the prototype willingness model. Transportation Research Part F: Traffic Psychology and Behaviour, 74, 151–160. https://eprints.qut.edu.au/204227
- Logan, E., Kaye, S. & Lewis, I. (2019). The influence of the revised reinforcement sensitivity theory on risk perception and intentions to speed in young male and female drivers. Accident Analysis and Prevention, 132, 1–10. https://eprints.qut.edu.au/132485
- Buckley, L., Kaye, S. & Pradhan, A. (2018). Psychosocial factors associated with intended use of automated vehicles: A simulated driving study. Accident Analysis and Prevention, 115, 202–208. https://eprints.qut.edu.au/117108