Evidence map›Paper›PMID 34987368›Full record

ArticleFrontiers in human neuroscience2021

Long-Term Motor Learning in the "Wild" With High Volume Video Game Data.

Jennifer B Listman, Jonathan S Tsay, Hyosub E Kim, Wayne E Mackey, David J Heeger

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

18 citing papers in PubMed, 42 citations in OpenAlex.

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4 · The record

Corrections and comments

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

5 authors at 3 institutions in 1 country.

Jennifer B ListmanStatespace Labs, Inc., New York, NY, United States.
Jonathan S TsayDepartment of Psychology, University of California, Berkeley, Berkeley, CA, United States.
Hyosub E KimDepartment of Physical Therapy, University of Delaware, Newark, DE, United States.
Wayne E MackeyStatespace Labs, Inc., New York, NY, United States.
David J HeegerStatespace Labs, Inc., New York, NY, United States.
Medpace (United States) · USUniversity of California, Berkeley · USUniversity of Delaware · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor learning occurs over long periods of practice during which motor acuity, the ability to execute actions more accurately, precisely, and in less time, improves. Laboratory-based studies of motor learning are typically limited to a small number of participants and a time frame of minutes to several hours per participant. There is a need to assess the generalizability of theories and findings from lab-based motor learning studies on larger samples and time scales. In addition, laboratory-based studies of motor learning use relatively simple motor tasks which participants are unlikely to be intrinsically motivated to learn, limiting the interpretation of their findings in more ecologically valid settings ("in the wild"). We studied the acquisition and longitudinal refinement of a complex sensorimotor skill embodied in a first-person shooter video game scenario, with a large sample size (

Indexed as

eSportsmotor acuitymotor learningsensorimotor performancevideo games

Identifiers

PMID34987368
PMCPMC8720934
OpenAlexW4200622931

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.