| Autor: |
Torsten Hammann, Manuel M. Schwartze, Peter Zentel, Anna Schlomann, Christiane Even, Hans-Werner Wahl, Christian Rietz |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Disabilities; Volume 2; Issue 4; Pages: 611-625 |
| ISSN: |
2673-7272 |
| Popis: |
Emotions influence processes of learning and thinking in all people. However, there is a lack of studies in the field of emotion research including people with intellectual disabilities (ID) addressing the existing diversity. The present study investigates the emotional competence of people with ID (N = 32). The first aim was to assess the emotional development using the Scale of Emotional Development (SEED). Based on these insights, the second objective was to replicate existing findings, validating the emotional reaction of people with ID to pictures of the International Affective Picture System (IAPS) based on self-reports. In an additional pilot-like analysis, the third aim was to investigate if these self-reported emotional reactions match the emotions expressed in their faces using the automated and video-based facial expression analysis software ‘Affectiva (Affdex SDK)’. In the present study, the self-reported emotional reactions of participants with ID were in line with previous research. In addition, the present study shows the general potential of this innovative approach of using and applying commercially available automated emotion recognition software for the field of special needs and social science. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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