ArticleJMIR serious games2026
Cognitive Load Across Interaction Formats in Digital Attention Assessment for Children: Within-Subject Neuroimaging and Behavioral Comparison Study.
Article in JMIR serious games, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundDigital health technologies increasingly use tablet-based cognitive assessments for children, yet interaction design choices can substantially influence cognitive load and measurement validity. Although cognitive load has been extensively studied in educational settings, its impact on patient-facing digital assessment tools for pediatric populations remains underexplored.
objectiveThis study examined how the interaction format influences cognitive load and measurement validity in a tablet-based Stroop task for children, comparing text-based with color-based response selection to determine which format better supports valid attention assessment.
methodsUsing a within-subject design, 127 typically developing children (n=55, 43.3%, girls; n=72, 56.7%, boys) aged 6-12 (mean 9.15, SD 1.56) years were recruited via convenience sampling from local communities in the Republic of Korea. Participants completed both a text-based and a color-based Stroop task on a tablet. Cognitive load was indexed using prefrontal functional near-infrared spectroscopy (fNIRS), measuring functional connectivity (FC) and global network efficiency. Behavioral outcome measures included accuracy, reaction time, and the composite efficiency score. Clinical validity was assessed by correlating task performance with parent-reported attention problems using a standardized behavioral rating scale. General cognitive ability was controlled using a standardized intelligence measure. Condition differences were analyzed using paired-sample t tests (α=.05), clinical associations using Pearson correlations with Fisher r-to-z transformation, and predictor contributions using random forest regression.
resultsIn the paired-sample t tests, the color-based format yielded significantly higher accuracy (0.91 vs 0.86; mean difference 0.05, 95% CI 0.03-0.08; t
conclusionsThis study provides some of the first empirical evidence that the interaction format substantially influences task demands and measurement validity in pediatric digital assessments, extending cognitive load theory into digital health assessment design. Color-based response formats that minimize extraneous semantic processing yield superior performance and stronger clinical validity compared to text-based formats. These findings suggest that prioritizing response modalities aligned with children's developmental capabilities may improve the clinical utility of digital attention assessments.
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