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Data · dataset · 2021

Replication Data for: The relation between complexity and resilient motor performance and the effects of differential learning

Listed in IISH Dataverse and ODISSEI Portal — shown once because both records carry DOI 10.34894/1mxm2l

The first aim of this study was to test the possible relation between complexity and resilient motor performance (i.e., performance while being perturbed).

Description

The second aim was to test whether complexity and resilient performance improve through differential learning. To address our aims, we designed two parallel experiments involving a motor task, in which participants moved a stick with their non-dominant hand along a slider.

Participants could score points by moving a cursor as fast and accurately as possible between two boxes, positioned on the right- and left side of the screen in front of them. In a first session, we determined the complexity by analyzing the temporal structure of variation in the box-to-box movement intervals with a Detrended Fluctuation Analysis. Then, we introduced perturbations to the task: We altered the tracking speed of the cursor relative to the stick-movements briefly (i.e., 4 seconds) at intervals of 1 minute (Experiment 1), or we induced a prolonged change of the tracking speed each minute (Experiment 2).

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Subsequently, participants had three sessions of either classical learning or differential learning. Participants in the classical learning condition were trained to perform the ideal movement pattern, whereas those in the differential learning condition had to perform additional and irrelevant movements. Finally, we conducted a posttest that was the same as the first session.

In both experiments, results showed moderate positive correlations between complexity and points scored (i.e., box touches) in the perturbation-period of the first session. Across the two experiments, only differential learning led to a higher complexity index (i.e., more prominent patterns of pink noise) from baseline to post-test. Unexpectedly, the classical learning group improved more in their resilient performance than the differential learning group.

Both the dataset and the scripts used for the two studies are provided here.

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Stated by source
Social Sciences · Social Sciences
Provenance · 2 source records, 12 field assertions
SourceKeyLast seenRaw
IISH Dataversedoi:10.34894/1MXM2L13 d agoJSON v1
ODISSEI Portaldoi:10.34894/1MXM2L9 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:490104mapping · datasets iisg amsterdamvocabulary-mapper@1.0.0keywords['complex systems']
concepts[field].anzsrc:field:490104mapping · portal odissei nlvocabulary-mapper@1.0.0keywords['complex systems']
concepts[field].dataverse_subject:social-sciencessource · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
concepts[field].dataverse_subject:social-sciencessource · portal odissei nlconnector:portal_odissei_nl@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · portal odissei nlconnector:portal_odissei_nl@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · datasets iisg amsterdamconnector:datasets_iisg_amsterdam@1.0.0/subjects
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