Aggressive Realism: More Efficient Processing of Anger in Physically Aggressive Individuals

Abstract

Physically aggressive individuals’ heightened tendency to decide that ambiguous faces are angry is thought to contribute to their destructive interpersonal behavior. Although this tendency is commonly attributed to bias, other cognitive processes could account for the emotion-identification patterns observed in physical aggression. Diffusion modeling is a valuable tool for parsing the contributions of several cognitive processes known to influence decision-making, including bias, drift rate (efficiency of information accumulation), and threshold separation (extent of information accumulation). In a sample of 90 incarcerated men, we applied diffusion modeling to an emotion-identification task. Physical aggression was positively associated with drift rate (i.e., more efficient information accumulation) for anger, and drift rate mediated the association between physical aggression and heightened anger identification. Physical aggression was not, however, associated with bias or threshold separation. These findings implicate processing efficiency for anger-related information as a potential mechanism driving aberrant emotion identification in physical aggression.