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Assessment of the Emotional Sphere of Children with Typical Development and Autism Spectrum Disorders Based on an Interdisciplinary Approach

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Abstract

The aim of the study is to reveal the features of the emotional sphere of children with typical development (TD) and autism spectrum disorders (ASD) using the developed interdisciplinary methodological approach. The approach includes two blocks—information about the development of the child (questionnaires for parents) and testing the child, containing tasks aimed at studying the manifestation of the emotional state in the characteristics of voice, speech, facial expressions, behavior and recognition by children of the emotional states of other people by voice and facial expression. The participants of the study were 70 children: 50 with TD and 20 with ASD. An audio recording of the speech, video recording of facial expressions and behavior of children during testing was made. Normative data were obtained—scores on questionnaires and scales, the results of psychophysiological testing of children. Differences between children with TD and ASD were determined according to the scales of the questionnaires: general information about development, the emotional sphere, additional information about child’s behavior; by scores in the test tasks for recognition and manifestation of emotions by children. This study is the first step in the development of new fundamental approaches to the diagnosis, rehabilitation and education of children with atypical development using methods for automatically recognizing children’s emotional states by vocalizations, speech and facial expression.

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REFERENCES

  1. Fridenson-Hayo, Sh., Berggren, S., Lassalle, A., et al., Basic and complex emotion recognition in children with autism: cross-cultural findings, Mol. Autism, 2016, vol. 7, no. 1, p. 52.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Velieva, S.V., Diagnostika psikhicheskikh sostoyanii detei doshkol’nogo vozrasta: uchebno-metodicheskoe posobie (Diagnostics of Psychologic State of Preschool Aged Children: Study Guide), St. Petersburg: Rech’, 2005.

  3. Denisova, N.D., Diagnostika emotsional’nogo i lichnostnogo razvitiya detei doshkol’nogo vozrasta 37 let (Diagnostics of Emotional and Personal Development of 3–7 Years Old Preschool Children), Volgograd: Uchitel’, 2020.

  4. Prikhozhan, A.M., Diagnostika lichnostnogo razvitiya detei podrostkovogo vozrasta (Diagnosis of Personal Development of Adolescent Children), Moscow: PEB, 2007.

  5. Humphrey, N., Kalambouka, A., Wigelsworth, M., et al., Measures of social and emotional skills for children and young people: a systematic review, Educ. Psychol. Meas., 2011, vol. 71, no. 4, p. 617.

    Article  Google Scholar 

  6. Nowicki, S. and Duke, M.P., Individual differences in the nonverbal communication of affect: the diagnostic analysis of nonverbal accuracy scale, J. Nonverbal Behav., 1994, vol. 18, no. 1, p. 9.

    Article  Google Scholar 

  7. Nowicki, S., Jr. and Carton, J., Measuring emotional intensity from facial expressions, J. Soc. Psychol., 1993, vol. 133, no. 5, p. 749.

    Article  PubMed  Google Scholar 

  8. Lebedinskii, V.V., Narusheniya psikhicheskogo razvitiya v detskom vozraste (Disorders of Mental Development in Childhood), Moscow: Mosk. Univ., 2003.

  9. Nikol’skaya, O.S., Baenskaya, E.R., Libling, M.M., et al., Deti i podrostki s autizmom: psikhologicheskoe soprovozhdenie (Autistic Child and Adolescent: How to Help), Moscow: Terevinf, 2005.

  10. Samson, A.C., Hardan, A.Y., Podell, R.W., et al., Emotion regulation in children and adolescents with autism spectrum disorder, Autism Res., 2015, vol. 8, no. 1, p. 9.

    Article  PubMed  Google Scholar 

  11. Nuske, H.J., Hedley, D., Woollacott, A., et al., Developmental delays in emotion regulation strategies in preschoolers with autism, Autism Res., 2017, vol. 10, no. 11, p. 1808.

    Article  PubMed  Google Scholar 

  12. Beck, K.B., Conner, C.M., Breitenfeldt, K.E., et al., Assessment and treatment of emotion regulation impairment in autism spectrum disorder across the life span: current state of the science and future directions, Child Adolesc. Psychiatr. Clin. North Am., 2020, vol. 29, no. 3, p. 527.

    Article  Google Scholar 

  13. Mazefsky, C.A., Herrington, J., Siegel, M., et al., The role of emotion regulation in autism spectrum disorder, J. Am. Acad. Child Adolesc. Psychiatry, 2013, vol. 52, no. 7, p. 679.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Samson, A.C., Phillips, J.M., Parker, K.J., et al., Emotion dysregulation and the core features of autism spectrum disorder, J. Autism Dev. Disord., 2014, vol. 44, no. 7, p. 1766.

    Article  PubMed  Google Scholar 

  15. Achenbach, T.M. and Ruffle, T.M., The Child Behavior Checklist and related forms for assessing behavioral/emotional problems and competencies, Pediatr. Rev., 2000, vol. 21, no. 8, p. 265.

    Article  CAS  PubMed  Google Scholar 

  16. Booth, A.J., Rodgers, J.D., Volker, M.A., et al., Psychometric characteristics of the DANVA-2 in high-functioning children with ASD, J. Autism Dev. Disord., 2019, vol. 49, no. 10, p. 4147.

    Article  PubMed  Google Scholar 

  17. Sterkenburg, P.S., Kempelmann, G.E.M., Hentrich, J., et al., Scale of emotional development-short: reliability and validity in two samples of children with an intellectual disability, Res. Dev. Disabil., 2021, vol. 108, p. 103821.

    Article  CAS  PubMed  Google Scholar 

  18. Lyakso, E., Frolova, O., Kleshnev, E., et al., Approbation of the Child’s Emotional Development Method (CEDM), in Companion Publication of the 2022 International Conference on Multimodal Interaction (ICMI ‘22 Companion), New York, NY, 2022, p. 201.

  19. Hart, S., Psychometric properties of the Emotional Development Scale: investigating reliability and validity including corrections with the Marschak interaction method and the neuroaffective mentalizing interview, Ph. D. Thesis, Aalborg, Denmark: Aalborg University, 2018, p. 195.

  20. Schopler, E., Reichler, R.J., DeVellis, R.F., and Daly, K., Toward objective classification of childhood autism: Childhood Autism Rating Scale (CARS), J. Autism Dev. Disord., 1980, vol. 10, no. 1, p. 91.

    Article  CAS  PubMed  Google Scholar 

  21. Baron-Cohen, S., Wheelwright, S., Hill, J., et al., The “Reading the Mind in the Eyes” Test revised version: a study with normal adults, and adults with Asperger syndrome or high-functioning autism, J. Child Psychol. Psychiatry, 2001, vol. 42, no. 2, p. 241.

    Article  CAS  PubMed  Google Scholar 

  22. Lyakso, E. and Frolova, O., Early development indicators predict speech features of autistic children, in Companion Publication of the 2020 International Conference on Multimodal Interaction (ICMI '20 Companion), 2020, p. 514.

  23. Hart, S. and Jacobsen, S.L., Zones of proximal emotional development—psychotherapy within a neuroaffective perspective, J. Infant Child Adolesc. Psychother., 2018, vol. 17, no. 1, p. 28.

    Article  Google Scholar 

  24. Hart, S. and Jacobsen, S.L., The Emotional Development Scale: assessing the emotional capacity of 4−12 year olds, J. Infant Child Adolesc. Psychother., 2019, vol. 18, no. 2, p. 185.

    Article  Google Scholar 

  25. Lyakso, E., Frolova, O., Ruban, N., and Mekala, A.M., Child’s emotional speech classification by human across two languages: Russian and Tamil, Speech and Computer, Karpov, A. and Potapova, R., Eds., vol. 12997 of Lecture Notes in Computer Science, Cham: Springer-Verlag, 2021, p. 384. https://doi.org/10.1007/978-3-030-87802-3_35.

  26. Amorim, M., Anikin, A., Mendes, A.J., et al., Changes in vocal emotion recognition across the life span, Emotion, 2021, vol. 21, no. 2, p. 315.

    Article  PubMed  Google Scholar 

  27. Morningstar, M., Nelson, E.E., and Dirks, M.A., Ma-turation of vocal emotion recognition: insights from the developmental and neuroimaging literature, Neurosci. Biobehav. Rev., 2018, vol. 90, p. 221.

    Article  PubMed  Google Scholar 

  28. Herba, C.M., Landau, S., Russell, T., et al., The development of emotion-processing in children: effects of age, emotion, and intensity, J. Child Psychol. Psychiatry, 2006, vol. 47, no. 11, p. 1098.

    Article  PubMed  Google Scholar 

  29. Kovarski, K., Charpentier, J., Houy-Durand, E., et al., Emotional expression visual mismatch negativity in children, Dev. Psychobiol., 2022, vol. 64, no. 7, p. e22326.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Keating, C.T. and Cook, J.L., Facial expression production and recognition in autism spectrum disorders: a shifting landscape, Child Adolesc. Psychiatr. Clin. North Am., 2020, vol. 29, no. 3, p. 557.

    Article  Google Scholar 

  31. Sappok, T., Barrett, B.F., Vandevelde, S., et al., Scale of emotional development—Short, Res. Dev. Disabil., 2016, vol. 59, p. 166.

    Article  PubMed  Google Scholar 

  32. Lyakso, E., Frolova, O., Kaliyev, A., et al., AD-Child.Ru: Speech corpus for Russian children with atypical development, Lecture Notes in Computer Science, 2019, vol. 11658, p. 299.

  33. Pérez-Espinosa, H., Martínez-Miranda, J., Espinosa-Curiel, I., et al., IESC-Child: an Interactive Emotional Children’s Speech Corpus, Comput. Speech Lang., 2020, vol. 59, p. 55.

    Article  Google Scholar 

  34. Cao, G., Tang, Y., Sheng, J., and Cao, W., Emotion recognition from children speech signals using attention based time series deep learning, Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 18–21 November 2019, San Diego, CA, 2019, p. 1296.

  35. Landowska, A., Karpus, A., Zawadzka, T., et al., Automatic emotion recognition in children with autism: a systematic literature review, Sensors (Basel), 2022, vol. 22, no. 4, p. 1649.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Garcia-Garcia, J.M., Penichet, V.M.R., Lozano, M.D., and Fernando, A., Using emotion recognition technologies to teach children with autism spectrum disorder how to identify and express emotions, Univ. Access. Inf. Soc. 2022, vol. 21, p. 809.

    Article  Google Scholar 

  37. Guran, A.M., Cojocar, G.S., and Diosan, L.S., The next generation of edutainment applications for young children—a proposal, Mathematics, 2022, vol. 10, p. 645.

    Article  Google Scholar 

  38. Matveev, Y., Matveev, A., Frolova, O., et al., Automatic speech emotion recognition of younger school age children, Mathematics, 2022, vol. 10, no. 14, p. 2373.

    Article  Google Scholar 

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Funding

The study was supported by the Russian Science Foundation (project no. 22-45-02007).

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Correspondence to O. V. Frolova.

Ethics declarations

Ethical standards. All studies were carried out in accordance with the principles of biomedical ethics formulated in the Declaration of Helsinki of 1964 and its subsequent updates, and approved by the Ethics Committee of St. Petersburg State University (St. Petersburg).

Informed consent. Parents of all children provided written informed consent, signed by them after explaining to them the potential risks and benefits and the nature of the upcoming study.

CONFLICTS OF INTEREST

The authors declare the absence of obvious and potential conflicts of interest related to the publication of this paper.

CONTRIBUTION OF AUTHORS TO THE PUBLICATION

Conceptualization: Е.Е. Lyakso, O.V. Frolova, Yu.О. Filatova. Study planning: Е.Е. Lyakso, О.V. Fro-lova, А.S. Grigorev. Methodology: Е.Е. Lyakso, О.V. Frolova, Yu.О. Filatova. Investigation, data analysis, paper writing: E.E. Lyakso, O.V. Frolova, E.A. Kleshnev, Yu.O. Filatova, A.S. Grigorev.

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Frolova, O.V., Kleshnev, E.A., Grigorev, A.S. et al. Assessment of the Emotional Sphere of Children with Typical Development and Autism Spectrum Disorders Based on an Interdisciplinary Approach. Hum Physiol 49, 216–224 (2023). https://doi.org/10.1134/S0362119723700238

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  • DOI: https://doi.org/10.1134/S0362119723700238

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