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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
Published on: January 23, 2017
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Perceived momentum influences responsibility judgments
Jeffrey R Parker1, Iman Paul2, Nicholas Reinholtz3
1Department of Managerial Studies, University of Illinois at Chicago.
Journal of Experimental Psychology. General
|July 19, 2019
Summary
People often perceive momentum in sequential events, expecting streaks to continue even when impossible. Events breaking these streaks are judged more responsible for the final outcome.
Area of Science:
- Cognitive Psychology
- Decision Making
- Social Cognition
Background:
- Understanding how individuals attribute responsibility for outcomes based on sequential events is crucial in psychology.
- Previous research has explored judgment biases, but the specific role of perceived momentum in responsibility attribution requires further investigation.
Purpose of the Study:
- To investigate how people assign responsibility for overall outcomes based on sequential events, such as correct or incorrect guesses in a game.
- To examine the influence of perceived momentum and streak continuation expectations on these responsibility judgments.
Main Methods:
- Participants were presented with sequences of events (e.g., trivia game outcomes).
- Judgments of responsibility for the overall outcome were collected.
- Analysis focused on the relationship between event sequence, perceived momentum, and responsibility attribution.
Main Results:
- Individuals perceive momentum in sequential events, expecting streaks to persist even in independent event sequences.
- Events that disrupt perceived streaks (e.g., an incorrect guess after a series of correct ones) are deemed more unexpected.
- These unexpected, streak-breaking events are assigned greater responsibility for the final outcome.
Conclusions:
- The perception of momentum significantly influences responsibility judgments, even when objectively absent.
- Streak-breaking events are disproportionately weighted in causal attributions due to their unexpected nature.
- Findings contribute to a deeper understanding of cognitive biases in judgment and decision-making, particularly concerning sequential information.
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