Evidence map›Paper›PMID 39084100›Full record

ArticleHuman movement science2024

Characterization of bilateral reaching development using augmented reality games.

Shelby Ziccardi, Samantha Timanus, Ghazaleh Ashrafzadehkian, Stephen J Guy, Rachel L Hawe

Abstract read
In one paragraph

Article in Human movement science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Shelby ZiccardiDepartment of Computer Science and Engineering, University of Minnesota, Kenneth H. Keller Hall, 200 Union St SE, Minneapolis, MN 55455, United States of America.
Samantha TimanusDepartment of Computer Science and Engineering, University of Minnesota, Kenneth H. Keller Hall, 200 Union St SE, Minneapolis, MN 55455, United States of America.
Ghazaleh AshrafzadehkianCollege of Design, University of Minnesota, 107 Rapson Hall, 89 Church Street SE, Minneapolis, MN 55455, United States of America.
Stephen J GuyDepartment of Computer Science and Engineering, University of Minnesota, Kenneth H. Keller Hall, 200 Union St SE, Minneapolis, MN 55455, United States of America.
Rachel L HaweSchool of Kinesiology, University of Minnesota, Cooke Hall, 1900 University Ave SE, Minneapolis, MN 55455, United States of America. Electronic address: rhawe@umn.edu.

Funding

Technology DevelopmentP2CHD101913 · NICHD · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2020 to 2024
$4.1M
NICHD NIH HHS P2C HD101913
6 · The paper itself

Abstract

Bilateral coordination is commonly impaired in neurodevelopmental conditions including cerebral palsy, developmental coordination disorder, and autism spectrum disorder. However, we lack objective clinical assessments that can quantify bilateral coordination in a clinically feasible manner and determine age-based norms to identify impairments. The objective of this study was to use augmented reality and computer vision to characterize bilateral reaching abilities in typically developing children. Typically developing children (n = 133) ages 6-17 years completed symmetric and asymmetric bilateral reaching tasks in an augmented reality game environment. We analyzed the number of target pairs they could reach in 50 s as well as the time lag between their hands reaching the targets. We found that performance on both tasks developed in parallel, with development slowing but not plateauing after age 12. Children performed better on the symmetric task than asymmetric, both in targets reached and with shorter hand lags. Variability between children in hand lag decreased with age. We also found gender differences with females outperforming males, which were most pronounced in the 10-11 year olds. Overall, this study demonstrates parallel development through childhood and adolescence of symmetric and asymmetric reaching abilities. Furthermore, it demonstrates the ability to quantify bilateral coordination using computer vision and augmented reality, which can be applied to assess clinical populations.

Indexed as

Augmented RealityPsychomotor PerformanceAdolescentChildChild DevelopmentFemaleFunctional LateralityHandHumansMaleMotor SkillsSex FactorsVideo GamesAugmented realityBilateral coordinationComputer visionMotor developmentReaching

Identifiers

PMID39084100
PMCPMC11404352

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Registered trials

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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.