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Mark Pezzo

Associate Professor

CONTACT

Office: DAV 113
Phone: 727/873-4020
Email

LINKS

Curriculum Vitae

BIO

Dr. Pezzo studies biases in human judgment and is an expert in the hindsight bias. Before coming to ¹ú²ú¶ÌÊÓƵhe taught at Wake Forest University, and UNC Greensboro. During his time at USF, Dr. Pezzo has served as Associate Dean of the College of Arts & Sciences (St. Petersburg), as well as Department Chair and Graduate Director for the Department of Psychology (St. Petersburg). He has received multiple awards for his teaching. Outside of academia, Dr. Pezzo plays the upright bass in , a gypsy/swing jazz trio that performs around the state.

EDUCATION

• B.S.   1987   Special Studies, Psychoacoustics (Magna Cum Laude), S.U.N.Y., Fredonia, N. Y.
• M.S.   1991   Experimental Psychology (Social/Cognition), Ohio University, Athens, Ohio.
• Ph.D. 1996   Experimental Psychology (Social/Cognition), Ohio University, Athens, Ohio.

TEACHING

Psychological Statistics, Social Psychology, Judgment & Decision Making

RESEARCH

My research focuses on judgmental biases, with a focus on the competing influences of motivational and cognitive processes in a number of areas, including hindsight bias, planning fallacy, perceptions of offensiveness, and the spread of rumors. My most recent work has centered on medical decision making and algorithm aversion.

SELECTED PUBLICATIONS

Pezzo, M. V., Nash, B. E., Vieux, P., & Foster-Grammer, H. W. (2022). Effect of Having, but Not Consulting, a Computerized Diagnostic Aid. Medical Decision Making, 42(1), 94-104.

Beckstead, J. W., & Pezzo, M. V. (2020). On Making Forecasts From Binary Sequences: Uncovering Implicit Cues. Journal of Experimental Psychology: General. Online First: http://dx.doi.org/10.1037/xge0000834

Pezzo, M. V., & Beckstead, J. W. (2020) Algorithm aversion is too often presented as though it were non-compensatory: A reply to Longoni et al. (2020) Judgment & Decision Making, 15(3), 443-445.

Pezzo, M. V., & Beckstead, J. W. (2020). Patients prefer artificial intelligence to a human provider, provided the AI is better than the human: A commentary on Longoni, Bonezzi, and Morewedge (2019). Judgment & Decision Making, 15(3), 449-451.

Beckstead, J. W., Pezzo, M. V., Beckie, T. M., Shahraki, F., Kentner, A. C., & Grace, S. L. (2014). Physicians’ Tacit and Stated Policies for Determining Patient Benefit and Referral to Cardiac Rehabilitation. Medical Decision Making, 34(1), 63-74.

Pezzo, M.V. (2011). Hindsight bias: A primer for motivation researchers. Social and Personality Compass, 5(9), 665-678.

Pezzo, M.V., & Pezzo, S.P. (2007). Making sense of failure: A motivated model of hindsight bias. Social Cognition, 25, 147-164.

Pezzo, M.V., Litman, J.A., & Pezzo, S.P. (2006). On the distinction between yuppies and hippies: Individual differences in the planning fallacy. Personality and Individual Differences, 41, 1359-1371.

Pezzo, M.V., & Beckstead, J. (2006). A multi-level analysis of rumor transmission: Effects of anxiety and belief in two field experiments. Basic and Applied Social Psychology, 28, 91-100.

Pezzo, M.V., & Pezzo, S.P. (2006). Physician evaluation following medical errors: Does having a computer decision aid help or hurt in hindsight? Medical Decision Making, 26, 48-56.