Dr. Gabriel Tillman
Lecturer, Psychology
Dr Gabriel Tillman investigates the psychology of decision making.
Dr Tillman has developed and tested a range of cognitive models that explain and predict how people make decisions. This work also involves understanding the neurophysiology that carries out the mental processes of decision making. Gabriel has applied these models in a range of domains where he has looked at the relationship between decision making and distracted driving, negative emotional states, speech perception and word recognition.
Gabriel was awarded a Bachelor of Psychology (Honours I) and a PhD in cognitive psychology from the University of Newcastle. Following his PhD, Gabriel worked at Vanderbilt University as a postdoctoral research fellow before joining Federation University Australia as a Lecturer in psychology.
Associations Between Smartphone Keystroke Metadata and Mental Health Symptoms in Adolescents: Findings From the Future Proofing Study
Disordered Social Media Use during COVID-19 Predicts Perceived Stress and Depression through Indirect Effects via Fear of COVID-19
Intrinsic Functional Connectomes Characterize Neuroticism in Major Depressive Disorder and Predict Antidepressant Treatment Outcomes
Smartphone Sensor Data for Identifying and Monitoring Symptoms of Mood Disorders: A Longitudinal Observational Study
Antidepressant side effects and their impact on treatment outcome in people with major depressive disorder: an iSPOT-D report
Side effects to antidepressant medications are common and can impact the prognosis of successful...
Sequential sampling models without random between-trial variability: the racing diffusion model of speeded decision making
Most current sequential sampling models have random between-trial variability in their...
Systematic and random sources of variability in perceptual decision-making: Comment on Ratcliff, Voskuilen, and McKoon (2018)
A key assumption of models of human cognition is that there is variability in information...
Verbal memory predicts treatment outcome in syndromal anxious depression: An iSPOT-D report
Background: Major Depressive Disorder (MDD), anxiety disorders, and high levels of anxious...
Hierarchical Bayesian mixture models of processing architectures and stopping rules
Systems Factorial Technology is a methodology that allows researchers to identify properties of...
Increased chronic stress predicts greater emotional negativity bias and poorer social skills but not cognitive functioning in healthy adults
Background and Objectives: Chronically stressed individuals report deficits spanning cognitive...
Neurally constrained modeling of speed-accuracy tradeoff during visual search: Gated accumulation of modulated evidence
Stochastic accumulator models account for response times and errors in perceptual decision making...
Assessing Theoretical Conclusions With Blinded Inference to Investigate a Potential Inference Crisis
Scientific advances across a range of disciplines hinge on the ability to make inferences about...
A diffusion decision model analysis of evidence variability in the lexical decision task
The lexical-decision task is among the most commonly used paradigms in psycholinguistics. In both...
An evidence accumulation model of acoustic cue weighting in vowel perception
Listeners rely on multiple acoustic cues to recognize any phoneme. The relative contribution of...
Modeling cognitive load effects of conversation between a passenger and driver
Cognitive load from secondary tasks is a source of distraction causing injuries and fatalities on...
A reach-to-touch investigation on the nature of reading in the Stroop task
In a Stroop task, participants can be presented with a color name printed in color and need to...