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Effects of posttransfer feedback informativeness in a transitive inference task.
Yarden Joy1, Tina Kao1,2, Greg Jensen3
1Department of Psychology, Columbia University, New York, NY, USA.
Memory & Cognition
|October 31, 2024
Summary
Investigating transitive inference (TI), this study found that ambiguous visual feedback significantly disrupted performance. Participants disengaged with ambiguous feedback, unlike when feedback was absent or corrective.
Area of Science:
- Cognitive psychology
- Neuroscience
- Behavioral science
Background:
- Transitive inference (TI) is a key cognitive process enabling serial learning and complex decision-making.
- Experimental protocols for TI often rely on visual corrective feedback to guide participants.
- The impact of different feedback types on TI performance remains an area for deeper investigation.
Purpose of the Study:
- To examine how varying forms and presence of visual feedback influence transitive inference (TI) task performance.
- To determine the differential effects of corrective, absent, and ambiguous feedback on cognitive processing during TI.
Main Methods:
- Participants completed a transitive inference task under three visual feedback conditions: corrective, none, and ambiguous.
- Performance was measured using response accuracy and reaction times.
- Participant engagement was qualitatively assessed across conditions.
Main Results:
- Ambiguous visual feedback significantly disrupted TI performance compared to corrective or no feedback.
- Response accuracy and reaction times were most impaired under the ambiguous feedback condition.
- Participants showed reduced engagement with ambiguous feedback, contrasting with sustained engagement when feedback was absent.
Conclusions:
- The type of visual feedback employed in TI tasks critically impacts information processing and task performance.
- Ambiguous feedback can hinder learning and inference by causing participant disengagement.
- Careful consideration of feedback modality is essential for optimizing experimental designs in cognitive research.
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