ArticleJMIR serious games2020
A Tablet App for Handwriting Skill Screening at the Preliteracy Stage: Instrument Validation Study.
Article in JMIR serious games, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 37 citations in OpenAlex.
- Tools and Methods for Diagnosing Developmental Dysgraphia in the Digital Age: A State of the Art.Children (Basel, Switzerland) · 2023Review
- Deep Learning and Procrustes Analysis for Early Dysgraphia Risk Detection with a Tablet Application.Life (Basel, Switzerland) · 2023Article
- Investigating Visual Perception Impairments through Serious Games and Eye Tracking to Anticipate Handwriting Difficulties.Sensors (Basel, Switzerland) · 2023Article
- Assessing handwriting task difficulty levels through kinematic features: a deep-learning approach.Frontiers in robotics and AI · 2023Article
- Identification and characterization of learning weakness from drawing analysis at the pre-literacy stage.Scientific reports · 2022Article
- Cortical Re-organization After Traumatic Brain Injury Elicited Using Functional Electrical Stimulation Therapy: A Case Report.Frontiers in neuroscience · 2021Article
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDifficulties in handwriting, such as dysgraphia, impact several aspects of a child's everyday life. Current methodologies for the detection of such difficulties in children have the following three main weaknesses: (1) they are prone to subjective evaluation; (2) they can be administered only when handwriting is mastered, thus delaying the diagnosis and the possible adoption of countermeasures; and (3) they are not always easily accessible to the entire community.
objectiveThis work aims at developing a solution able to: (1) quantitatively measure handwriting features whose alteration is typically seen in children with dysgraphia; (2) enable their study in a preliteracy population; and (3) leverage a standard consumer technology to increase the accessibility of both early screening and longitudinal monitoring of handwriting difficulties.
methodsWe designed and developed a novel tablet-based app Play Draw Write to assess potential markers of dysgraphia through the quantification of the following three key handwriting laws: isochrony, homothety, and speed-accuracy tradeoff. To extend such an approach to a preliteracy age, the app includes the study of the laws in terms of both word writing and symbol drawing. The app was tested among healthy children with mastered handwriting (third graders) and those at a preliterate age (kindergartners).
resultsApp testing in 15 primary school children confirmed that the three laws hold on the tablet surface when both writing words and drawing symbols. We found significant speed modulation according to size (P<.001), no relevant changes to fraction time for 67 out of 70 comparisons, and significant regression between movement time and index of difficulty for 44 out of 45 comparisons (P<.05, R
conclusionsThe designed app represents a promising solution for the screening of handwriting difficulties, since it allows (1) anticipation of the detection of alteration of handwriting principles at a preliteracy age and (2) provision of broader access to the monitoring of handwriting principles. Such a solution potentially enables the selective strengthening of lacking abilities before they exacerbate and affect the child's whole life.
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