Discriminative Power of the Serious Game Attention Slackline in Children and Adolescents With and Without Attention-Deficit/Hyperactivity Disorder: Validation Study
Bibliographic record
Abstract
Background: Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental condition characterized by inattention, hyperactivity, and impulsivity, significantly impacting the psychological, social, and academic well-being of affected children and adolescents. Traditional ADHD diagnostic methods often rely on subjective reports, which can be biased. Recent advancements in serious games offer the potential for objective assessment tools. Objective: This study aimed to evaluate the discriminative power and concurrent validity of the serious game Attention Slackline in distinguishing children and adolescents with ADHD from those without the condition and in correlating game performance with standardized ADHD assessment scales. Methods: A sample of 32 children and adolescents diagnosed with ADHD and 39 healthy controls participated in the study. Participants were divided into 2 age groups: children (aged 6-11 years) and adolescents (aged 12-17 years). The serious game Attention Slackline was administered alongside established ADHD assessment scales, including the Child and Adolescent Assessment System and the ADHD Rating Scale IV. Group differences were analyzed using multivariate analysis of covariance, and effect sizes were reported using Cohen d. Correlations between game performance and ADHD symptoms were calculated using Pearson r. Results: Children with ADHD demonstrated significantly worse performance in Attention Slackline than the controls (t65=-2.26; P=.03; |d|=0.901), whereas no significant differences were observed in adolescents (t65=0.75; P=.73; |d|=0.191). Task performance was negatively correlated with family-reported hyperactivity/impulsivity symptoms in children across both tests (r=-0.43 and r=-0.51), but no significant correlations were observed in adolescents. Conclusions: The findings support the validity of Attention Slackline for assessing hyperactivity/impulsivity symptoms in children with ADHD. However, its efficacy decreases in adolescents, potentially due to developmental factors, such as compensatory strategies and ceiling effects in task performance. The gamified nature of the tool enhances engagement, which is crucial for young populations, while maintaining its diagnostic utility in measuring impulsivity. The age-dependent validity aligns with previous research indicating that continuous performance test paradigms are less effective in older populations due to developmental maturation. Attention Slackline shows potential as a complementary tool for ADHD diagnosis in children, offering an engaging and objective assessment of hyperactivity/impulsivity. Future research should aim to establish clinical cutoff points and refine the task's complexity to align with individual characteristics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".