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Direct and indirect effects of perception on generalization gradients
Jonas Zaman1, Eva Ceulemans2, Dirk Hermans3
1Health Psychology, Faculty of Psychology and Educational Sciences, KU Leuven, Tiensestraat 102, Box 3726, 3000, Leuven, Belgium; Center for the Psychology of Learning and Experimental Psychopathology, Faculty of Psychology and Educational Sciences, KU Leuven, Tiensestraat 102, Box 3712, 3000, Leuven, Belgium. Electronic address: https://ppw.kuleuven.be/ogp.
Individual differences in perception significantly influence behavioral generalization. Perceptual errors in distinguishing stimuli can increase conditioned responses and alter learning experiences, impacting generalization models.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Behavioral Science
Background:
- Understanding behavioral generalization across situations is a long-standing research question.
- Significant variation in conditioned responding within and between individuals challenges current generalization models.
- The role of perceptual differences in explaining behavioral variation remains underexplored.
Purpose of the Study:
- To investigate the extent to which perceptual differences contribute to behavioral variation during generalization.
- To examine the relationship between perceptual accuracy and conditioned responding.
- To explore how perceptual errors influence perceived stimulus-outcome contingencies and subsequent learning.
Main Methods:
- Combined a fear conditioning and generalization paradigm with a perceptual decision task in human participants.
- Assessed participants' ability to discriminate between trained fear-evoking stimuli and novel stimuli.
- Measured conditioned responding and perceived stimulus-outcome contingencies.
Main Results:
- Failure to perceive a novel stimulus as distinct from the trained stimulus resulted in heightened conditioned responding.
- Perceptual errors led to significant discrepancies between objective and perceived stimulus-outcome contingencies.
- The influence of perceptual errors on behavior was moderated by the resulting perceived contingencies.
Conclusions:
- Perceptual errors are a key driver of generalization across perceptual dimensions.
- These errors directly impact behavior and indirectly shape individual learning experiences.
- Findings highlight the importance of considering perceptual variability in generalization models.
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