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Attention to irrelevant contexts decreases as training increases: Evidence from eye-fixations in a human predictive
José A Aristizabal1, Manuel M Ramos-Álvarez1, José E Callejas-Aguilera1
1Department of Psychology, Universidad de Jaen, Spain.
Behavioural Processes
|January 10, 2016
Summary
In a predictive learning task, attention shifted from context to cues as training progressed. This supports the Attentional Theory of Context Processing, showing decreased context processing with increased learning.
Area of Science:
- Cognitive Psychology
- Human Learning and Memory
- Behavioral Neuroscience
Background:
- Understanding how humans learn predictive associations is crucial for various fields, including clinical psychology and artificial intelligence.
- The role of contextual information in associative learning and attention is a key area of research in cognitive science.
Purpose of the Study:
- To investigate attentional allocation during predictive learning within varying contexts.
- To test predictions derived from the Attentional Theory of Context Processing regarding attention shifts during learning.
Main Methods:
- A human predictive learning task was employed, involving predicting gastric malaise (outcome) based on food cues within specific restaurant contexts.
- Participants completed 48 training trials, with predictive responses and eye-fixations meticulously recorded.
- Eye-fixations served as a measure of attention directed towards contextual elements and predictive cues.
Main Results:
- Attention to contexts significantly decreased as training trials progressed.
- Conversely, attention directed towards predictive cues demonstrated a significant increase over the training period.
- These findings align with the Attentional Theory of Context Processing.
Conclusions:
- Contexts are actively processed at the initial stages of learning (acquisition).
- The processing of contextual information diminishes as learning and experience with predictive cues increase.
- This study provides empirical support for dynamic attentional shifts during associative learning.
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