Investigation of the Effect of Second-Generation Virtual Reality Interventions on Hot and Cold Executive Functions in Children with Attention-Deficit/Hyperactivity Disorder: Single-Blind Randomized Controlled Study
Bibliographic record
Abstract
Objective: The aim of this study was to examine the effects of the second-generation virtual reality intervention (SG-VRI) on the hot and cold executive functions (EFs) of children with attention-deficit/hyperactivity disorder (ADHD). Methods: Seventy children were included in the study and randomly divided into control ( n = 35) and intervention ( n = 35) groups. Stroop TBAG Form, Trail Making Test, and Childhood Executive Functioning Inventory were administered to the participants before SG-VRI. SG-VRI was applied to the intervention group as two sessions per week for 8 weeks. During this period, the control group did not receive any intervention. Results: At the end of these 8 weeks, assessment tests were administered to both groups again. The final results showed that the SG-VRI was effective in improving hot and cold EF skills of children with ADHD ( P < 0.05). Conclusion: We believe that the use of virtual reality interventions may be effective in the cognitive rehabilitation processes of children with ADHD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".