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Published on: November 9, 2018
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Stimulus-triggered task conflict affects task-selection errors in task switching: A Bayesian multinomial processing
Luca Moretti1, Iring Koch1, Marco Steinhauser2
1Institute of Psychology, RWTH Aachen University.
Summary
Multinomial processing tree (MPT) modeling effectively measures task conflict in task switching. Increased irrelevant task feature saliency amplifies task conflict, not response conflict, during switching.
Area of Science:
- Cognitive Psychology
- Computational Neuroscience
Background:
- Task switching involves cognitive control to select and execute appropriate task sets.
- Understanding task conflict and response conflict is crucial for cognitive models of task switching.
Purpose of the Study:
- To introduce and validate multinomial processing tree (MPT) modeling for measuring task conflict in task switching.
- To independently assess task conflict and response conflict.
- To investigate the impact of irrelevant task feature saliency on these conflicts.
Main Methods:
- Two experiments utilized bivalent stimuli and manipulated irrelevant-task difficulty.
- MPT modeling was employed to estimate probabilities of correct task and response selection.
- Response accuracy data across different experimental conditions were analyzed.
Main Results:
- Task conflict, but not response conflict, increased with higher saliency of task-irrelevant stimulus features.
- Both task conflict and response conflict were elevated during task switching compared to task repetition.
- MPT modeling successfully dissociated task conflict from response conflict.
Conclusions:
- MPT modeling provides a robust method for quantifying task conflict in task switching paradigms.
- Findings suggest that task-irrelevant features activate task sets rather than directly forming stimulus-response associations.
- This research refines theories of cognitive control and information processing in task switching.

