Rate My Professor Guy Hawkins

Hawkins develops and tests computational and mathematical models of cognitive processes, with a primary focus on the psychology of decision making. His work examines decision mechanisms and strategies for selecting consumer products and services, statistical reasoning, consumer preferences, domain-general mechanisms across low-level perceptual decisions and high-level cognition, and updating caution relative to time frames and option quality. Research fields include decision making (70%), psychological methodology, design and analysis (20%), and sensory processes, perception and performance (10%). He has received the Faculty of Science Award for Early Career Research and Innovation Excellence (2017), Vice-Chancellor's Award for Early Career Research and Innovation Excellence (2017), Fellowship of the Psychonomic Society (2018), William K. Estes Early Career Award from the Society for Mathematical Psychology (2020), and John Keats Early Career Award from the Society for Mathematical Psychology (2024). Key publications include 'Racing Against the Clock: Evidence-Based Versus Time-Based Decisions' (Psychological Review, 2021), 'Time-Evolving Psychological Processes Over Repeated Decisions' (Psychological Review, 2022), 'Self-reported mind wandering reflects executive control and selective attention' (Psychonomic Bulletin & Review, 2022), 'The standard relationship between choice frequency and choice time is violated in multi-attribute preferential choice' (Journal of Mathematical Psychology, 2023), 'Hierarchical Bayesian estimation for cognitive models using Particle Metropolis within Gibbs (PMwG): A tutorial' (Behavior Research Methods, 2026), and 'Cognitive Models as a Tool to Link Decision Behavior with EEG Signals' (2024).