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Why Does Dual-Tasking Hamper Implicit Sequence Learning?
Eva Röttger1, Fang Zhao2, Robert Gaschler2
1Department of Psychology, University of Bremen, Hochschulring 18, 28359 Bremen, DE.
Journal of Cognition
|January 28, 2021
Summary
Dual-tasking impairs implicit sequence learning by hindering the ability to separate task events. Learning across-task contingencies is necessary before acquiring sequence knowledge, especially when tasks are integrated.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Human Factors
Background:
- Dual-tasking research often examines limitations in performance when individuals perform two tasks simultaneously.
- Implicit sequence learning, typically measured by the serial reaction time task (SRTT), can be detrimentally affected by dual-tasking.
- Previous research suggests that a lack of task separation contributes to dual-task interference in implicit learning.
Purpose of the Study:
- To investigate the conditions under which implicit sequence learning can be preserved during dual-tasking.
- To determine the role of across-task contingency learning in acquiring sequence knowledge.
- To explore how probabilistic pairings between tasks influence sequence learning acquisition.
Main Methods:
- An 8-element visual-manual SRTT was paired with an auditory-vocal task during a training phase.
- Three experiments varied the probabilistic pairings between SRTT elements/locations and auditory tones.
- Sequence learning was assessed under single-task conditions after dual-task training.
Main Results:
- When SRTT elements were 100% paired with specific tones, only those elements were learned.
- No sequence learning occurred when SRTT elements were probabilistically (75%-25%) paired with tone identities.
- Sequence learning remained intact when the probabilistic (75%-25%) pairing applied to SRTT target locations.
Conclusions:
- Participants can learn sequences in one task during dual-tasking if they first learn the contingencies between tasks.
- The ability to learn across-task contingencies is crucial for preserving implicit sequence learning under dual-task conditions.
- Specific patterns of probabilistic association (e.g., location-based) facilitate sequence learning more than others (e.g., element-identity based).

