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Multi modal perceived conversation success prediction for spontaneous autistic and non-autistic dyadic interactions
Author1, Author2, Author3, Author4, Author5
multimodalconversation successautisminteraction analysis
2610.31682
Builder Relevance
1h ago70%
Abstract
The study predicts perceived conversation success in autistic and non-autistic interactions using multimodal features.
Reality Card
Core Claim
The research demonstrates that combining articulatory, facial, acoustic-prosodic, and turn-taking measures improves the prediction of perceived conversation success.
Method / Result
Utilized three spontaneous dyadic-interaction datasets to achieve a more comprehensive understanding of conversation success.
Limitations
The study may face challenges in generalizing findings across diverse populations due to the specific datasets used.
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