Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Serious Games

Date Submitted: Feb 22, 2026
Date Accepted: May 11, 2026

The final, peer-reviewed published version of this preprint can be found here:

Cognitive Load Across Interaction Formats in Digital Attention Assessment for Children: Within-Subject Neuroimaging and Behavioral Comparison Study

Jeong H, Cheong YJ, Ro J, Cha J, Choi J, Jung M

Cognitive Load Across Interaction Formats in Digital Attention Assessment for Children: Within-Subject Neuroimaging and Behavioral Comparison Study

JMIR Serious Games 2026;14:e93468

DOI: 10.2196/93468

PMID: 42190238

Cognitive Load Across Interaction Formats in Digital Attention Assessment for Children: Within-Subjects Neuroimaging and Behavioral Comparison Study

  • Harim Jeong; 
  • Yong Jeon Cheong; 
  • Jihyeong Ro; 
  • Jihyun Cha; 
  • Jongkwan Choi; 
  • Minyoung Jung

ABSTRACT

Background:

Digital health technologies increasingly employ tablet-based cognitive assessments for children, yet interaction design choices can substantially influence cognitive load and measurement validity. While cognitive load has been extensively studied in educational settings, its impact on patient-facing digital assessment tools for pediatric populations remains underexplored. Understanding how interface design affects both performance and clinical validity is essential for developing developmentally appropriate digital health applications.

Objective:

This study examined how interaction format influences cognitive load and measurement validity in a tablet-based Stroop task for children, comparing text-based response selection with color-based response selection to determine which format better supports valid attention assessment.

Methods:

A total of 127 typically developing children aged 6-12 years (mean 9.15 years, SD 1.56; 55 girls, 72 boys) completed both response formats in a within-participant design. Cognitive load was indexed using prefrontal Functional Near-Infrared Spectroscopy (fNIRS), measuring changes in functional connectivity and global network efficiency. Behavioral performance included accuracy, reaction time, and composite efficiency. Clinical validity was evaluated by correlating task performance with parent-reported attention problems. Random Forest analyses examined predictors of performance variance.

Results:

The color-based format yielded significantly better behavioral performance: higher accuracy (0.91 vs 0.86, P<.001, d=0.38), faster reaction times (1183 ms vs 1269 ms, P<.001, d=0.69), and superior composite performance (P<.001, d=0.72). Color-based performance showed a significant correlation with parent-reported attention problems (r=−.20, P=.025), whereas text-based performance did not (r=−.05, P=.56). While neural indices did not differ significantly between conditions, individual variations in prefrontal efficiency accounted for 35-44% of residual performance variance after controlling for age and general cognitive ability.

Conclusions:

Interaction format substantially influences both cognitive load and measurement validity in pediatric digital assessments. Color-based response formats that minimize extraneous semantic processing yielded superior performance and stronger clinical validity compared to text-based formats. For Stroop-based attention assessments in children, prioritizing response formats that reduce unnecessary cognitive demands may enhance measurement fidelity and clinical utility. Clinical Trial: N/A


 Citation

Please cite as:

Jeong H, Cheong YJ, Ro J, Cha J, Choi J, Jung M

Cognitive Load Across Interaction Formats in Digital Attention Assessment for Children: Within-Subject Neuroimaging and Behavioral Comparison Study

JMIR Serious Games 2026;14:e93468

DOI: 10.2196/93468

PMID: 42190238

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.