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Updated: May 28, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
Published on: June 30, 2020
Cognitive Load Across Interaction Formats in Digital Attention Assessment for Children: Within-Subject Neuroimaging
Harim Jeong1, Yong Jeon Cheong1, Jihyeong Ro1
1Korea Brain Research Institute, Dong-gu, Daegu, Republic of Korea.
Color-based digital assessments for children show better attention measurement validity than text-based formats. This interaction design improves cognitive load management and clinical utility in pediatric digital health tools.
Area of Science:
- Pediatric Neuropsychology
- Digital Health Technologies
- Cognitive Assessment
Background:
- Tablet-based cognitive assessments are common in digital health for children.
- Interaction design significantly impacts cognitive load and validity.
- Pediatric cognitive load in digital assessments is understudied.
Purpose of the Study:
- Examine interaction format influence on cognitive load and validity.
- Compare text-based vs. color-based Stroop tasks for children.
- Determine optimal format for valid attention assessment.
Main Methods:
- Within-subject design with 127 children (6-12 years).
- Used tablet-based text and color Stroop tasks.
- Measured cognitive load via fNIRS, behaviorally (accuracy, RT), and clinically (attention problems).
Main Results:
- Color-based format showed higher accuracy and faster reaction times.
- Color-based performance correlated significantly with parent-reported attention problems.
- fNIRS neural indices did not differ between conditions.
Conclusions:
- Interaction format critically affects pediatric digital assessment validity.
- Color-based formats enhance performance and clinical validity.
- Aligning response modalities with developmental capabilities improves digital attention assessments.
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