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Updated: Jun 27, 2025

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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
Published on: March 1, 2022
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Cognitive complexity explains processing asymmetry in judgments of similarity versus difference
Nicholas Ichien1, Nyusha Lin2, Keith J Holyoak2
1Department of Psychology, University of Pennsylvania, United States.
Cognitive Psychology
|April 25, 2024
Summary
Human judgments of similarity and difference are asymmetrical. This study reveals that people find relational differences harder to detect than relational similarities, influencing how they compare information.
Area of Science:
- Cognitive Psychology
- Human Judgment and Decision Making
Background:
- Human judgments of similarity and difference can be asymmetrical.
- The theoretical basis for this asymmetry, particularly why similarity judgments are more sensitive to relational overlap than difference judgments, is not well understood.
Purpose of the Study:
- To investigate the cognitive complexity underlying judgments of similarity and difference.
- To test the hypothesis that asymmetries arise from the type of information processed (relations vs. features) and the comparison process (similarity vs. difference).
Main Methods:
- Experiment 1 involved verbal (word pairs) and visual (geometric shapes) comparisons, assessing similarity and difference judgments.
- Participants evaluated unambiguous and ambiguous trials, with ambiguity based on featural versus relational information.
- Experiment 2 used complex story stimuli to replicate findings.
Main Results:
- Participants experienced more difficulty detecting relational differences compared to relational similarities.
- When judging similarity, participants emphasized relational information more than when judging difference.
- This pattern was consistent across verbal, visual, and narrative stimuli.
Conclusions:
- Cognitive complexity in processing relations and assessing difference contributes to judgment asymmetry.
- Relational information is weighted more heavily in similarity judgments than in difference judgments.
- A computational model supports these findings, highlighting differential weighting of relational information.
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