QUT | Staff Profiles | Sherrie-Anne Kaye

Name: Dr Sherrie-Anne Kaye
Position(s): Research Fellow (Advanced Technologies)
Faculty of Health,
School of Psychology & Counselling
Discipline *: Psychology, Public Health and Health Services, Cognitive Science
Phone: +61 7 3138 7697
Fax: +61 7 3138 7532
Email: s1.kaye@qut.edu.au
Location: View location details (QUT staff and student access only)
Identifiers and profiles
Qualifications: PhD (Queensland University of Technology)

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

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

This information has been contributed by Dr Sherrie-Anne Kaye.

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.

Dr Sherrie-Anne Kaye

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