The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Understanding of Simple and Complex Emotions in Non‐retarded Children with Autism
Abstract
Abstract Non‐retarded autistic children are compared to normal controls on measures of emotion expression and recognition. In general, autism subjects recounted appropriate examples of simple and complex emotions, and accurately labeled relatively ambiguous, affect expression in pictures, Autistic children manifested some difficulty talking about socially derived emotions, pride and embarrassment. They required more time and more prompts, their responses were more tentative and “scripted”, and they displayed limited understanding of the salience of Others in embarrassing situations. Results are discussed in relation to theory of mind impairment and compensation strategies in autism.
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Cites
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Cited by
Empathy: its ultimate and proximate bases
Preston, S. D., & de Waal, F. B. M. (2002) · Behavioral and Brain Sciences · doi:10.1017/s0140525x02000018 · Cited by 4,126
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Visual scanning of faces in autism
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Loneliness and friendship in high-functioning children with autism
Bauminger, N., & Kasari, C. (2000) · Child Development · doi:10.1111/1467-8624.00156 · Cited by 980
Metadata
- Authors
- Capps, L., Yirmiya, N., & Sigman, M.
- Venue
- Journal of Child Psychology and Psychiatry
- Publisher
- Wiley
- Published
- 1992-10
- Volume
- 33
- Issue
- 7
- Pages
- 1169-1182
- ISSN
- 0021-9630 (ISSN-L)
- 1469-7610
- OpenAlex
- W1989041217
- Cited by
- 372
- References
- 40
- FWCI
- 2.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- Capps, L., Yirmiya, N., & Sigman, M. (1992). Understanding of Simple and Complex Emotions in Non‐retarded Children with Autism. Journal of Child Psychology and Psychiatry. https://doi.org/10.1111/j.1469-7610.1992.tb00936.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
