Evidence map›Paper›PMID 42625131›Full record

ArticleBrain and behavior2026

Motor Skill Learning of a Racing Video Game With Intuitive versus Inverted and Random Controls.

Quinn McCallion, Ben Wilhelm, Davin Greenwell, Jacob Feigh, Morgan S Hoard, Julynne R Spidell, Brach Poston, Zachary A Riley

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In one paragraph

Article in Brain and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Quinn McCallionSchool of Health and Human Sciences, Indiana University Indianapolis, Indianapolis, Indiana, USA.
Ben WilhelmSchool of Health and Human Sciences, Indiana University Indianapolis, Indianapolis, Indiana, USA.
Davin GreenwellSchool of Health and Human Sciences, Indiana University Indianapolis, Indianapolis, Indiana, USA.
Jacob FeighSchool of Health and Human Sciences, Indiana University Indianapolis, Indianapolis, Indiana, USA.
Morgan S HoardSchool of Health and Human Sciences, Indiana University Indianapolis, Indianapolis, Indiana, USA.
Julynne R SpidellSchool of Health and Human Sciences, Indiana University Indianapolis, Indianapolis, Indiana, USA.
Brach PostonDepartment of Kinesiology and Nutrition Sciences, University of Nevada-Las Vegas, Las Vegas, Nevada, USA.
Zachary A RileySchool of Health and Human Sciences, Indiana University Indianapolis, Indianapolis, Indiana, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimMotor skill learning relies on increasing proficiency to translate sensory feedback to produce an updated motor command. This experience-dependent process allows our automatic movements to lead to an expected result-this is known as an "internal model." Video games provide a structured environment for studying these processes, as they typically develop stable sensory-motor relationships (or internal models) within the brain. PURPOSE: This study examined how disrupting these internal models with two different non-intuitive joystick control schemes affected short-term motor learning during a video game task.

methodEighty healthy right-handed adults (males: n = 49 and females: n = 31) completed three blocks of five timed laps using normal controls (N1), inverted or random controls (IC/RC), and then returned to normal controls (N2). Half the subjects used inverted controls, while the other half used random controls during the IC/RC block. Performance was measured through lap times, and error was manually quantified by recording wall contacts. FINDING: Results showed that all participants improved from lap 1 to 5 within each testing block. The inverted control group had significantly slower initial lap times and more wall contacts during the first lap of the IC/RC and N2 blocks. There was a trend (p = 0.06) for the IC group to improve more than the RC group from lap 1 to lap 5 in the IC/RC block. Additionally, for the IC group, the first lap of block 3 was significantly slower than where they left off before the IC block (p = 0.002). The random control condition did not experience this same increase in lap time and wall contacts during lap 1 of the N2 testing block. Instead of experiencing anterograde interference, the random control group may have been subject to de novo learning taking place.

conclusionThis study therefore highlights the flexibility of motor learning systems and supports the accompaniment of interference with motor adaptation.

Indexed as

LearningMotor SkillsVideo GamesAdultFemaleHumansMalePsychomotor PerformanceYoung Adult

Identifiers

PMID42625131
PMCPMC13493697

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.