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Finding The Right Fit: A Comparison Of Process Assumptions Underlying Popular Drift-Diffusion Models, Nathaniel J. S. Ashby, Marc Jekel, Stephan Dickert, Andreas Glockner

Faculty Works

Recent research makes increasing use of eye-tracking methodologies to generate and test process models. Overall, such research suggests that attention, generally indexed by fixations (gaze duration), plays a critical role in the construction of preference, although the methods employed to support this supposition differ substantially. In two studies we empirically test prototypical versions of prominent processing assumptions against one another and several base models. We find that general evidence accumulation processes provide a good fit to the data. An accumulation process that assumes leakage and temporal variability in evidence weighting (i.e. a primacy effect) fits the aggregate data, both in …