Australasian Mathematical Psychology Conference 2019

Accumulating evidence about evidence accumulation models in applied contexts

Hector Palada
School of Psychology, University of Queensland
Rachel Searston
University of Adelaide
Annabel Persson
University of Queensland
Timothy Ballard
University of Queensland
Matthew Thompson
Murdoch University

Evidence accumulation models have been used to describe the cognitive processes underlying performance across a number of domains. Previous applications of these models have typically involved decisions about basic perceptual stimuli (e.g., motion discrimination). Applied perceptual domains, such as fingerprint discrimination, face recognition or medical image interpretation, however, require the processing of more complex visual information. The ability of evidence accumulation models to account for these more complex decisions is unknown. We apply a dynamic decision-making model — the linear ballistic accumulator (LBA) — to fingerprint discrimination decisions in order to gain insight into the cognitive processes underlying these complex perceptual judgments. We show that the LBA provides an accurate description of the fingerprint discrimination decision processes with manipulations in visual noise and speed-accuracy emphasis. Our results demonstrate that the LBA is a promising model for furthering our understanding of complex perceptual decisions.