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Comparing partial repetition costs in two- and four-choice tasks: Evidence for abstract relational codes
Eliot Hazeltine1, Iring Koch2, Daniel H Weissman3
1Department of Psychological and Brain Sciences, University of Iowa.
Partial repetition costs in action control are influenced by stimulus-response signaling. These costs indicate that cognitive bindings include relational codes, affecting response times in decision-making tasks.
Area of Science:
- Cognitive Psychology
- Human-Computer Interaction
- Neuroscience
Background:
- Partial repetition costs (PRCs) are observed in choice tasks when stimuli or responses partially repeat.
- Existing theories suggest PRCs reflect updating stimulus-response bindings or resolving processing conflicts.
- An alternative hypothesis proposes that PRCs are influenced by a heuristic signaling mechanism.
Purpose of the Study:
- To investigate whether relational codes, specifically signaling effects, contribute to partial repetition costs.
- To compare PRCs in two-choice versus four-choice tasks to differentiate between binding updates and signaling effects.
- To examine how the validity of stimulus-response signals influences the magnitude of signaling effects.
Main Methods:
- Comparison of partial repetition costs in two-choice and four-choice tasks.
- Experimental manipulation of stimulus-response repetition and change patterns across trials.
- Analysis of response times and error rates based on trial history and signal validity.
Main Results:
- Complete repetition benefits were similar across two- and four-choice tasks.
- Complete change benefits were smaller in the four-choice task compared to the two-choice task, suggesting a signaling effect.
- The magnitude of the signaling effect was larger following trials where stimulus-response patterns were consistent (valid signals).
Conclusions:
- Signaling between stimulus features and responses contributes to partial repetition costs.
- Cognitive bindings involved in action control incorporate relational codes.
- These findings refine our understanding of how cognitive control and decision-making are influenced by learned stimulus-response associations.
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