Evidence map›Paper›PMID 41632276›Full record

ArticleExperimental brain research2026

The embodied digital divide: how sensorimotor experience shapes touchscreen typing performance and strategy.

Laila Craighero, Elisa Straulino, Alba Liso, Lorenzo Viviani, Davide Conte, Alberto Morelli, Leonardo Bocchi, Luisa Sartori

Abstract read
In one paragraph

Article in Experimental brain research, 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
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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

8 authors.

Laila CraigheroDepartment of Neuroscience and Rehabilitation, University of Ferrara, Via Fossato di Mortara 19, 44121, Ferrara, Italy. laila.craighero@unife.it.ORCID https://orcid.org/0000-0002-5400-8732
Elisa StraulinoDepartment of General Psychology, University of Padova, Via Venezia 8, 35131, Padua, Italy.
Alba LisoDepartment of Neuroscience and Rehabilitation, University of Ferrara, Via Fossato di Mortara 19, 44121, Ferrara, Italy.
Lorenzo VivianiDepartment of Medical Sciences, University of Ferrara, Via Fossato di Mortara 64/B, 44121, Ferrara, Italy.ORCID http://orcid.org/0009-0005-9901-8503
Davide ConteDepartment of General Psychology, University of Padova, Via Venezia 8, 35131, Padua, Italy.
Alberto MorelliDepartment of Information Engineering, University of Florence, Via S.Marta, 3, 50139, Florence, Italy.
Leonardo BocchiDepartment of Information Engineering, University of Florence, Via S.Marta, 3, 50139, Florence, Italy.
Luisa SartoriDepartment of General Psychology, University of Padova, Via Venezia 8, 35131, Padua, Italy.ORCID http://orcid.org/0000-0002-3838-8958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated how divergent sensorimotor experiences interact with task intention to influence touchscreen typing performance, kinematics, and strategy in smartphone users. Building on principles of motor learning and embodied cognition, we compared two generational cohorts: individuals whose sensorimotor development was primarily in the physical world, and those whose development occurred concurrently in both physical and digital environments. Participants typed the same sentences in two tasks: WhatsApp Chat (content generation) and Google Search (content consumption). 3D motion capture measured thumb kinematics; video analysis assessed behavioral metrics including typing time, predictive text use, and errors. Behavioral metrics revealed that the group with early digital exposure demonstrated faster overall typing times. The group with later digital adoption showed significantly greater use of predictive text, especially in WhatsApp, while typing errors did not differ. Kinematic analysis showed the early-digital-exposure group exhibited a higher-vigor motor execution profile and later peak deceleration and velocity, indicative of more ballistic, pre-planned movements. Crucially, Movement Time also exhibited a complex interaction, highlighting context-dependent modulation of motor efficiency. Thumb usage patterns did not show major group or task differences. These findings demonstrate that an individual's sensorimotor history contributes to shaping fine-grained sensorimotor skills. Those with early digital exposure display superior motor efficiency and vigor. In contrast, individuals with later digital adoption, though less kinematically efficient, exhibited remarkable strategic flexibility, adapting motor control and leveraging interface features based on task demands. This underscores how divergent sensorimotor histories contribute to distinct expressions of digital fluency and adaptive strategies in the digital age.

Indexed as

Motor ActivityPsychomotor PerformanceSmartphoneUser-Computer InterfaceAdultBiomechanical PhenomenaDigital MediaFemaleHumansMaleYoung AdultDigital ImmigrantsDigital NativesEmbodied CognitionMovement VigorSensorimotor RepresentationsSmartphone Interaction

Identifiers

PMID41632276
PMCPMC12868094

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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.