Evidence map›Paper›PMID 42631266›Full record

ArticleJMIR XR and spatial computing2026

Exploratory Patterns of Task Difficulty and Visual Feedback in Virtual Reality-Based Upper-Limb Trajectory Training.

Yu Shi, Sophie Dewil, Zachary Marvin, Noam Y Harel, Raviraj Nataraj

Abstract readLetter
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yu ShiDepartment of Biomedical Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, NJ, 07030, United States, 1 2012163555.ORCID https://orcid.org/0009-0007-8591-9380
Sophie DewilDepartment of Biomedical Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, NJ, 07030, United States, 1 2012163555.ORCID https://orcid.org/0000-0003-0644-3809
Zachary MarvinDepartment of Biomedical Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, NJ, 07030, United States, 1 2012163555.ORCID https://orcid.org/0009-0003-1400-2533
Noam Y HarelSpinal Cord Damage Research Center, James J. Peters Department of VA Medical Center, New York, NY, United States.ORCID https://orcid.org/0000-0003-3085-2194
Raviraj NatarajDepartment of Biomedical Engineering, Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, NJ, 07030, United States, 1 2012163555.ORCID https://orcid.org/0000-0002-5261-3031

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this pilot evaluation of a virtual reality platform for upper-extremity motor rehabilitation, 9 neurotypical participants performed a force-modulated tracking task across 4 trajectory difficulty levels with and without augmented visual feedback; tracking accuracy improved in all conditions, with the descriptive visual-feedback advantage more pronounced at higher difficulty.

Indexed as

augmented sensory feedbackmotor learningtask difficultyupper extremity functionvirtual reality training

Identifiers

PMID42631266
PMCPMC13496318

What OpenQuestion holds

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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.