Interpersonal synchrony across vocal and lexical modalities in interactions involving children with autism spectrum disorder. Academic Article uri icon

Overview

abstract

  • Quantifying behavioral synchrony can inform clinical diagnosis, long-term monitoring, and individualised interventions in neuro-developmental disorders characterized by deficit in communication and social interaction, such as autism spectrum disorder. In this work, three different objective measures of interpersonal synchrony are evaluated across vocal and linguistic communication modalities. For vocal prosodic and spectral features, dynamic time warping distance and squared cosine distance of (feature-wise) complexity are used, and for lexical features, word mover's distance is applied to capture behavioral synchrony. It is shown that these interpersonal vocal and linguistic synchrony measures capture complementary information that helps in characterizing overall behavioral patterns.

publication date

  • September 8, 2022

Identity

PubMed Central ID

  • PMC9462442

Scopus Document Identifier

  • 85062732634

Digital Object Identifier (DOI)

  • 10.1007/s10803-019-03920-6

PubMed ID

  • 36097603

Additional Document Info

volume

  • 2

issue

  • 9