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1000 Titel
  • Imitation and recognition of facial emotions in autism: a computer vision approach
1000 Autor/in
  1. Drimalla, Hanna |
  2. Baskow, Irina |
  3. Behnia, Behnoush |
  4. Roepke, Stefan |
  5. Dziobek, Isabel |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-04-06
1000 Erschienen in
1000 Quellenangabe
  • 12(1):27
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s13229-021-00430-0 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8025560/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background: Imitation of facial expressions plays an important role in social functioning. However, little is known about the quality of facial imitation in individuals with autism and its relationship with defining difficulties in emotion recognition. Methods: We investigated imitation and recognition of facial expressions in 37 individuals with autism spectrum conditions and 43 neurotypical controls. Using a novel computer-based face analysis, we measured instructed imitation of facial emotional expressions and related it to emotion recognition abilities. Results: Individuals with autism imitated facial expressions if instructed to do so, but their imitation was both slower and less precise than that of neurotypical individuals. In both groups, a more precise imitation scaled positively with participants' accuracy of emotion recognition. Limitations: Given the study's focus on adults with autism without intellectual impairment, it is unclear whether the results generalize to children with autism or individuals with intellectual disability. Further, the new automated facial analysis, despite being less intrusive than electromyography, might be less sensitive. Conclusions: Group differences in emotion recognition, imitation and their interrelationships highlight potential for treatment of social interaction problems in individuals with autism.
1000 Sacherschließung
lokal Female [MeSH]
lokal Autism
lokal Autistic Disorder/psychology [MeSH]
lokal Facial expression
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Automated analysis
lokal Middle Aged [MeSH]
lokal Imitation
lokal Imitative Behavior [MeSH]
lokal Signal Processing, Computer-Assisted [MeSH]
lokal Male [MeSH]
lokal Research
lokal Young Adult [MeSH]
lokal Emotion recognition
lokal Emotions [MeSH]
lokal Facial Expression [MeSH]
lokal Recognition, Psychology [MeSH]
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0003-3783-7237|https://frl.publisso.de/adhoc/uri/QmFza293LCBJcmluYQ==|https://frl.publisso.de/adhoc/uri/QmVobmlhLCBCZWhub3VzaA==|https://frl.publisso.de/adhoc/uri/Um9lcGtlLCBTdGVmYW4=|https://frl.publisso.de/adhoc/uri/RHppb2JlaywgSXNhYmVs
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  • DeepGreen-ID: 436350cf415b4dd5913e4d87bc1e8d6b ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Erstellt am 2023-11-15T23:55:45.172+0100
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1000 Zuletzt bearbeitet 2023-11-30T23:02:04.598+0100
1000 Objekt bearb. Thu Nov 30 23:02:04 CET 2023
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  1. oai:frl.publisso.de:frl:6464057 |
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