The paper presents the results of assessing the ability of children from different groups - typical development (TD), autism spectrum disorder (ASD), and intellectual disability (ID) - to recognize the emotions of other people using video and audio tests. The study included 225 children aged 5 to 16 years and 2 adults. We used the original dataset by the Child’s Emotional Development Method (CEDM), selecting from dataset the video recordings of four test tasks performed by children to recognize emotions from photographs of children, photographs of adults, abstract images, and the speech and voice of children (audio test). Children’s ability to recognize emotions correctly was assessed in two ways: by experts’ ratings on a Likert scale and by children’s correct answers. The results showed greater accuracy in recognizing emotional states by TD children compared to children with ASD and ID. Peculiarities of recognition by children with ASD and ID of various emotions using video and audio tests were revealed. The novelty of the results lies in the comparative data on the recognition of emotions by TD children and children with various developmental disorders. The problem of assessing children’s emotion recognition using a standardized approach for further use of data in creating applications that teach children to express and recognize emotions is original and new.
Original languageEnglish
Title of host publication26th International Conference, SPECOM 2024, Belgrade, Serbia, November 25–28, 2024, Proceedings, Part II
EditorsAlexey Karpov, Vlado Delić
PublisherSpringer Nature
Pages138-153
Number of pages16
ISBN (Electronic)978-3-031-78014-1
ISBN (Print)978-3-031-78013-4
DOIs
StatePublished - 22 Nov 2024
Event26th International Conference on Speech and Computer : Specom 2024 - University of Novi Sad, Белград, Serbia
Duration: 25 Nov 202428 Nov 2024
Conference number: 26
https://specom.nw.ru/2024/
https://specom2024.ftn.uns.ac.rs
https://specom2024.ftn.uns.ac.rs/

Publication series

NameLecture Notes in Computer Science ( Lecture Notes in Artificial Intelligence)
PublisherSpringer Nature Switzerland
VolumeLNAI 15300
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference26th International Conference on Speech and Computer
Abbreviated titleSPECOM 2024
Country/TerritorySerbia
CityБелград
Period25/11/2428/11/24
Internet address

    Scopus subject areas

  • Computer Science(all)

    Research areas

  • Children with Autism Spectrum Disorders and Intellectual Disabilities, Emotions, Recognition, Video and Audio Modalities

ID: 128076951