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An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
05:42

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Published on: October 5, 2020

Motor automaticity in natural keyboard typing.

Rubi Ruopp, Emily A Williams, Mary Gach

    Biorxiv : the Preprint Server for Biology
    |June 22, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Motor automaticity in typing is linked to the frequency of learned sequences. Higher frequency leads to faster typing, but proficiency isn't solely dependent on automaticity.

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    Area of Science:

    • Cognitive Psychology
    • Neuroscience
    • Human Motor Control

    Background:

    • Motor skills can be automatic or controlled.
    • Understanding the basis of motor automaticity is crucial for cognitive and neuroscience research.
    • Naturally acquired skills, like typing, offer a unique window into motor learning.

    Purpose of the Study:

    • To investigate if motor automaticity in typing depends on the frequency of naturally learned motor sequences.
    • To examine the influence of prior exposure to letter sequences without laboratory training.
    • To establish keyboard typing as a scalable framework for studying naturally acquired motor skills.

    Main Methods:

    • Participants typed five-letter strings varying in natural language word and bigram frequency.
    • Novel pseudo-word strings were also tested to control for familiarity.
    • Inter-keypress intervals and temporal variability were measured.

    Main Results:

    • Greater sequence frequency in natural language correlated with faster inter-keypress intervals and lower temporal variability.
    • Initiation latencies were slower for novel pseudo-word strings.
    • Individual typing speed and variability were consistent across frequency levels but not linked to conventional typing skill measures.

    Conclusions:

    • Frequency of naturally learned sequences influences automaticity in typing.
    • Typing proficiency is not solely determined by automaticity.
    • Keyboard typing provides a valid model for studying linguo-motor processes and motor sequence learning.