Mario Fific

Assistant Professor
B.A., Belgrade University
Ph.D., Indiana University, Bloomington
2139 AuSable Hall
Office: 616-331-5061

Office Hours

Mario Fific's Cognitive Science Lab:


Cognitive Psychology

Courses Taught

PSY 300 - Research Methods in Psychology

PSY 400 - Advanced Research in Psychology


Research Interests

My research interests center on developing a process tracing approach that allows for precise determination of the fundamental properties of mental processes underlying cognitive actions. My graduate and postdoctoral collaboration with Dr. James Townsend and Dr. Robert Nosofsky relied on development of such a highly diagnostic and sophisticated methodology for determining mental architectures, known as the systems factorial technology (SFT). My works as a research scientist at the Center for Adaptive Behavior and Cognition, at the Max Planck Institute for Human Development, has aimed to apply process-tracing techniques in the areas of complex decision making. The work so far has involved validation, theoretical refinement, extensions, and further application of SFT.

Selected Publications

Nosofsky, R.M., Little, D.R., Donkin, C., & Fific, M. (2011). Short-term memory scanning viewed as exemplar-based categorization. Psychological Review.

Fific, M., Little, D. R., & Nosofsky, R. M. (2010). Logical-rule models of classification response times: A synthesis of mental-architecture, random-walk, and decision-bound approaches. Psychological Review, 117, 309-348.

Fific, M., & Townsend, J. T. (2010). Information-processing alternatives to holistic perception: Identifying the mechanisms of secondary-level holism within a categorization paradigm. Journal of Experimental Psychology: Learning, Memory, and Cognition, 36, 1290-1313.

Fific, Nosofsky, Townsend (2008) Information-Processing Architectures in Multidimensional Classification: A Validation Test of the Systems Factorial Technology. Journal of Experimental Psychology: Human Perception and Performance

Fific, Townsend & Eidels (2007) Studying Visual search Using Systems Factorial Methodology with Target-Distractor Similarity as the Factor. Perception & Psychophysics.