Evidence map›Paper›PMID 42327284›Full record

ArticlebioRxiv : the preprint server for biology2026

Motor automaticity in natural keyboard typing.

Rubi Ruopp, Emily A Williams, Mary Gach, Melissa Baese-Berk, Ian Greenhouse

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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.

Rubi RuoppInstitute of Neuroscience, University of Oregon, Eugene, OR, USA.ORCID 0009-0007-6566-7497
Emily A WilliamsSchool of Psychology, University of Leeds, Leeds, UK.
Mary GachDepartment of Human Physiology, University of Oregon, Eugene, OR, USA.
Melissa Baese-BerkDepartment of Linguistics, University of Chicago, Chicago, IL, USA.
Ian GreenhouseInstitute of Neuroscience, University of Oregon, Eugene, OR, USA.ORCID 0000-0003-1467-739X

Funding

Oregon Clinical and Translational Research Institute TL1 ProgramTL1TR002371 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ALLISON Deborah FRYER, JESSINA C MCGREGOR · 2017 to 2026
$6.2M
NCATS NIH HHS TL1 TR002371
6 · The paper itself

Abstract

Certain features of everyday motor skills become automatic while others remain controlled. Here we use a novel keyboard typing task to investigate whether motor automaticity depends on the frequency of naturally learned motor sequences. Participants type five-letter strings that vary in their word and bigram (two-letter sequence) frequency in natural language, allowing us to examine the influence of prior exposure without laboratory training. Novel pseudo word strings are tested as well. We find greater sequence frequency in natural language is associated with faster inter-keypress intervals and lower temporal variability within the sequence. In contrast, latencies to initiate a sequence are slower for novel pseudo-word strings but are otherwise insensitive to natural word frequency. We also find individual differences in inter-keypress speed and variability are robust across frequency levels but are unrelated to conventional measures of typing skill. Our method establishes keyboard typing as a scalable, ethologically valid framework for probing features of a naturally acquired human motor skill. This research will help extend laboratory-based studies of motor sequence learning and sets the stage for future investigations of linguo-motor processes. Moreover, our findings demonstrate which features within naturally acquired motor sequences become automatic and that typing proficiency is not determined solely by automaticity.

Identifiers

PMID42327284
PMCPMC13278139

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.