Mario Fifić

Mario Fifi

Associate Professor
B.A., Belgrade University
Ph.D., Indiana University, Bloomington
2139 AuSable Hall
Office: 616-331-5061
Emalfificm@gvsu.edu

CV

Mario Fific's Cognitive Science Lab:http://faculty.gvsu.edu/fificm/index.html


Specialization

Cognitive Psychology

Courses Taught

PSY 300 - Research Methods in Psychology

PSY 400 - Advanced Research in Psychology

PSY 361 - Perception

Research Interests

Professor Fific's research interests center on developing a process-tracing approach that allows for the precise determination of rigorously defined properties fundamental to the mental processes that underlie cognitive actions. Much of Professor Fific's research has been focused on the development of a highly diagnostic and sophisticated methodology for uncovering mental architecture, known as the systems factorial technology (SFT). His work 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 area of complex decision making. The work thus far has involved validation, theoretical refinement, extensions, and further application of SFT.

Selected Publications

Fific, M., Little, D. R. (2017). Stretching Mental Processes: An Overview of and Guide for SFT Applications. To appear in D. R. Little, N. Altieri, M. Fifi & C-T. Yang (Eds.). Systems Factorial Technology: A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms. Elsevier.

Fific, M. (2016) Simple Factorial Tweezers for detecting delicate serial and parallel processes. In “Mathematical Models of Perception and Cognition: Essays in Honor of James T. Townsend” (J. W. Houpt & L. M. Blaha, Eds), p. 77-152. New York: Psychology Press.

Fific, M. & Gigerenzer, G. (2014). Are two interviewers better than one? Journal of Business Research, 67(8), 1771-1779.

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.