Deep neural networks distinguish ASD from TD children at 81% accuracy using robot interaction data and generate realistic simulated behaviors via a transformer model that experts cannot reliably tell apart from real data.
Interactive robots with model-based ‘autism- like’behaviors: Assessing validity and potential benefits,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.HC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Modeling of ASD/TD Children's Behaviors in Interaction with a Virtual Social Robot During a Music Education Program Using Deep Neural Networks
Deep neural networks distinguish ASD from TD children at 81% accuracy using robot interaction data and generate realistic simulated behaviors via a transformer model that experts cannot reliably tell apart from real data.