DOI

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.
Язык оригиналаанглийский
Название основной публикации26th International Conference, SPECOM 2024, Belgrade, Serbia, November 25–28, 2024, Proceedings, Part II
РедакторыAlexey Karpov, Vlado Delić
ИздательSpringer Nature
Страницы138-153
Число страниц16
ISBN (электронное издание)978-3-031-78014-1
ISBN (печатное издание)978-3-031-78013-4
DOI
СостояниеОпубликовано - 22 ноя 2024
СобытиеXXVIth International Conference “Speech and Computer”: Specom 2024 - University of Novi Sad, Белград, Сербия
Продолжительность: 25 ноя 202428 ноя 2024
Номер конференции: 26
https://specom.nw.ru/2024/
https://specom2024.ftn.uns.ac.rs
https://specom2024.ftn.uns.ac.rs/

Серия публикаций

НазваниеLecture Notes in Computer Science ( Lecture Notes in Artificial Intelligence)
ИздательSpringer Nature Switzerland
ТомLNAI 15300
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференцияXXVIth International Conference “Speech and Computer”
Сокращенное названиеSPECOM-2024
Страна/TерриторияСербия
ГородБелград
Период25/11/2428/11/24
Сайт в сети Internet

    Предметные области Scopus

  • Компьютерные науки (все)

    Области исследований

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

ID: 128076951