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Searching for the Cause: Search Behavior in Explanation of Causal Chains

Abstract

Understanding cause and effect relationships gives power to produce desired effects and avoid negative outcomes. Despite the power of causal explanations, people often lack full understanding of how causes relate to or produce their effects. In two experiments, we explored how people search for information to enrich their causal explanations of real-world phenomena when given the chance. Participants completed an information search task that provided a causal relationship where they could seek out mechanistic information at different steps between the cause and the effect. We measured where people searched in the causal chain of events that made the explanation. We found that when allowed to search freely (Experiment 1) or when instructed that they must search for information (Experiment 2) participants consistently sought out information closest to the root cause in the explanation. We discuss implications for how to improve the teaching of new explanations to maximize the informational desires of the learner.

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