Personal details
- Name
- Dr Sherrie-Anne Kaye
- Position(s)
- Research Fellow (Advanced Technologies)
Faculty of Health,
School - Psychology and Counselling,
Research - CARRSQ - IHBI Membership
Institute of Health Biomedical Innovation (IHBI),
IHBI Health Projects,
IHBI Psych and Counc - IPTM - Discipline *
- Psychology, Public Health and Health Services, Cognitive Sciences
- Phone
- +61 7 3138 7697
- Fax
- +61 7 3138 7532
- s1.kaye@qut.edu.au
- Location
- View location details (QUT staff and student access only)
- Identifiers and profiles
-
- Qualifications
-
PhD (Queensland University of Technology)
Biography
Dr Sherrie-Anne Kaye (BBehavSc(Hons), PhD) is a Research Fellow at CARRS-Q. 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. 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. Research Interests:Sherrie-Anne has been involved in road safety research since 2010. Her main areas of research interest include:
- Young drivers
- Speeding behaviour
- Road safety advertising
- Personality traits (reward and punishment sensitivities, sensation seeking, and impulsivity)
- Cognitive and neurological measures of processing and attention in the context of road safety research
- Psychophysiological measures in the context of road safety research
- Automated vehicles
Publications
- 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 p1-11
- Kaye S, Lewis I, Buckley L, Rakotonirainy A, (2020) Assessing the feasibility of the theory of planned behaviour in predicting drivers' intentions to operate conditional and full automated vehicles, Transportation Research Part F: Traffic Psychology and Behaviour p173-183
- 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 p1-9
- Watson A, Kaye S, Fleiter J, Freeman J, (2020) Effectiveness of vehicle impoundment for high-range speeding offences in Victoria, Australia, Accident Analysis and Prevention
- Lewis I, Elliott B, Kaye S, Fleiter J, Watson B, (2019) The Australian experience with road safety advertising campaigns in improving traffic safety culture, Traffic safety culture: Definition, foundation, and application p275-295
- Kaye S, Buckley L, Rakotonirainy A, Delhomme P, (2019) An adaptive approach for trialling fully automated vehicles in Queensland Australia: A brief report, Transport Policy p275-281
- 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 p1-10
- Buckley L, Kaye S, Pradhan A, (2018) A qualitative examination of drivers' responses to partially automated vehicles, Transportation Research Part F: Traffic Psychology and Behaviour p167-175
- Kaye S, Lewis I, Freeman J, (2018) Comparison of self-report and objective measures of driving behavior and road safety: A systematic review, Journal of Safety Research p141-151
- Buckley L, Kaye S, Pradhan A, (2018) Psychosocial factors associated with intended use of automated vehicles: A simulated driving study, Accident Analysis and Prevention p202-208
For more publications by this staff member, visit QUT ePrints, the University's research repository.