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Multimodal assessment of communicative-pragmatic features in schizophrenia: a machine learning approach

Psychology

Multimodal assessment of communicative-pragmatic features in schizophrenia: a machine learning approach

A. Parola, I. Gabbatore, et al.

This study, conducted by Alberto Parola, Ilaria Gabbatore, Laura Berardinelli, Rogerio Salvini, and Francesca M. Bosco, unveils groundbreaking insights into the communicative differences between individuals with schizophrenia and healthy controls. Utilizing a multimodal assessment coupled with machine learning, the research reveals linguistic irony as a pivotal indicator, boasting an impressive 82% accuracy in participant classification. Discover how these findings could reshape pragmatic theory and clinical assessments.

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