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Co-Represented Statistical Regularities Facilitate the Processing of Partner-Related Words During a Joint Memory Task
Mengfei Zhao1, Dongjie Jiang1, Jun Wang1,2
1School of Psychology, Zhejiang Normal University.
Cognitive Science
|June 6, 2025
Summary
Statistical learning improves memory for partner-related words in joint memory tasks, but only when semantic regularities align with partners' intentions. This enhances the joint memory effect (JME) by facilitating co-represented statistical processing.
Area of Science:
- Cognitive Psychology
- Social Psychology
- Neuroscience
Background:
- Statistical learning enhances memory for self-related information.
- Individuals show better memory for partner-related items than irrelevant items in joint contexts (joint memory effect, JME).
- The impact of statistical learning on partner-related memory in joint contexts is unclear.
Purpose of the Study:
- Investigate how statistical learning affects memory for partner-related words in a joint memory task.
- Examine the role of different types of statistical regularities (semantic vs. temporal) in enhancing the JME.
- Explore the hierarchical structure of co-representation in joint action.
Main Methods:
- Four experiments were conducted using a joint memory task involving word categorization and surprise free recall.
- Experiment 1 replicated the JME with Chinese words and repetition.
- Experiments 2, 3a, and 3b embedded semantic regularities, non-adjacent temporal regularities, and adjacent temporal regularities, respectively, within word streams.
Main Results:
- The JME was replicated in Experiment 1.
- The JME was significantly enhanced only when semantic regularities were present (Experiment 2).
- Temporal positional rules (Experiments 3a and 3b) did not enhance the JME.
Conclusions:
- Co-represented statistical regularities facilitate processing of partner-related words, but only when aligned with partners' intentions.
- Joint memory effects are enhanced by semantic regularities, suggesting a hierarchical structure of co-representation.
- Findings advance understanding of co-representation in joint action, highlighting hierarchical structure and top-down interactions.
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