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Related Experiment Videos

Alignment-based nonmonotonicities in similarity

R L Goldstone1

  • 1Psychology Department, Indiana University, Bloomington 47405, USA. rgoldsto@indiana.edu

Journal of Experimental Psychology. Learning, Memory, and Cognition
|July 1, 1996
PubMed
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Similarity judgments can decrease when items share features, contradicting monotonicity assumptions. The alignment-based SIAM model explains these nonmonotonicities, depending on perceptual similarity and comparison duration.

Area of Science:

  • Cognitive Psychology
  • Computational Modeling
  • Perception

Background:

  • The principle of monotonicity in similarity judgments posits that shared features should not decrease similarity.
  • Traditional feature- and dimension-based models fail to predict violations of this principle.
  • Alignment-based models offer a framework to explain nonmonotonicities by considering interactive correspondence mapping.

Purpose of the Study:

  • To investigate violations of the monotonicity assumption in similarity judgments.
  • To test the predictive power of an alignment-based model (SIAM) in explaining these violations.
  • To determine the influence of perceptual similarity and comparison duration on nonmonotonic effects.

Main Methods:

  • Two experiments were conducted to elicit and measure nonmonotonicities in similarity judgments.

Related Experiment Videos

  • Participants compared visual displays, and their similarity ratings were collected.
  • The alignment-based Similarity as Interactive Activation and Mapping (SIAM) model was used for theoretical comparison.

    • Main Results:

    • Evidence for nonmonotonicities in similarity judgments was obtained across both experiments.
    • The observed nonmonotonicities were largely consistent with the predictions of the SIAM model.
    • The occurrence of nonmonotonicities was found to be dependent on the perceptual similarity of features and the duration of comparison.

    Conclusions:

    • The findings challenge the traditional assumption of monotonicity in similarity.
    • The SIAM model provides a viable explanation for nonmonotonic similarity effects through interactive activation and mapping.
    • Perceptual factors, specifically feature similarity and exposure time, play a crucial role in the emergence of nonmonotonicities.