Computerized home video detection for motherese may help to study impaired interaction between infants who become autistic and their parents

Ammar Mahdhaoui, Mohamed Chetouani, Raquel S. Cassel, Catherine Saint-Georges, Erika Parlato, Marie Christine Laznik, Fabio Apicella, Filippo Muratori, Sandra Maestro, David Cohen

Research output: Contribution to journalArticle

Abstract

Autism is a well-defined clinical syndrome after the second year of life, but information on autism in the first two years of life is still lacking. The study of home videos has described children with autism during the first year of life as not displaying the rigid pattern typical of later symptoms. Therefore, developmental/environmental factors are claimed in addition to genetic/biological ones to explain the onset of autism during maturation. Here we describe (1) a developmental hypothesis focusing on the possible implication of motherese impoverishment during the course of parent-infant interactions as a possible co-factor; (2) the methodological approach we used to develop a computerized algorithm to detect motherese in home videos; (3) the best configuration performance of the detector in extracting motherese from home video sequences (accuracy=82% on speaker-independent versus 87.5% on speaker-dependent) that we should use to test this hypothesis.

Original languageEnglish
JournalInternational Journal of Methods in Psychiatric Research
Volume20
Issue number1
DOIs
Publication statusPublished - Mar 2011

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Keywords

  • Autism
  • Computerized detector
  • Motherese

ASJC Scopus subject areas

  • Psychiatry and Mental health

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