Turning observers into actors: Differential causal attributions as a function of “empathy”
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
After being instructed either to "empathize with the actor" or to "picture the events clearly," two groups of observers read a story describing an actor's behavior, and then gave free-response explanations of that behavior, and rated the importance of personal and situational causal factors. The hypothesis that causal attributions of empathizing observers would be less personal and more situational than those of nonempathizing observers received strong support, both from subjects' free responses and from their scale ratings. These findings provide evidence for an information-processing explanation of actor/observer attributional differences. Some practical applications of increasing the situationality of observers' causal attributions are discussed. The results also suggest a novel operational definition of "empathy"; and are interpreted as evidence for the effectiveness of "interpersonal simulations".
