Emotional intelligence and emotion information processing: Proof of concept of a test measuring accuracy in discriminating emotions
Emotion information processing (EIP) has been recently introduced as a new component of emotional intelligence. We present a task aiming at measuring a type of emotion information processing related to fine-grained discrimination of emotional expressions. We modified an existing task presenting morp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-02-01
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| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1085971/full |
| _version_ | 1811173473057243136 |
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| author | Christelle Gillioz Maroussia Nicolet-dit-Félix Oliver Wilhelm Marina Fiori |
| author_facet | Christelle Gillioz Maroussia Nicolet-dit-Félix Oliver Wilhelm Marina Fiori |
| author_sort | Christelle Gillioz |
| collection | DOAJ |
| description | Emotion information processing (EIP) has been recently introduced as a new component of emotional intelligence. We present a task aiming at measuring a type of emotion information processing related to fine-grained discrimination of emotional expressions. We modified an existing task presenting morphed faces created from a blend of two prototypical emotional expressions. Participants’ (N = 154) ability-EI, in particular emotion recognition, understanding and management, as well as intelligence were evaluated. Results show that all facets of EI independently predicted accuracy in the discrimination task and that emotion recognition was the strongest predictor. When controlling for emotion recognition level, we found that emotion understanding still predicted accuracy for less difficult stimuli. Results support the idea that individuals high in EI have higher emotion processing skills at the emotion perception stage of information processing and suggest that the task employed in the current study might measure more spontaneous processing of emotional expressions. Implications regarding the use of the current task as a new measure of the EIP component are discussed. |
| first_indexed | 2024-04-10T17:47:31Z |
| format | Article |
| id | doaj.art-5f141ac8b7c34608809d92cc43b03539 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-04-10T17:47:31Z |
| publishDate | 2023-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-5f141ac8b7c34608809d92cc43b035392023-02-03T04:53:26ZengFrontiers Media S.A.Frontiers in Psychology1664-10782023-02-011410.3389/fpsyg.2023.10859711085971Emotional intelligence and emotion information processing: Proof of concept of a test measuring accuracy in discriminating emotionsChristelle Gillioz0Maroussia Nicolet-dit-Félix1Oliver Wilhelm2Marina Fiori3Research and Development, Swiss Federal University for Vocational Education and Training, Renens, SwitzerlandResearch and Development, Swiss Federal University for Vocational Education and Training, Renens, SwitzerlandDepartment of Individual Differences and Psychological Assessment, Ulm University, Ulm, GermanyResearch and Development, Swiss Federal University for Vocational Education and Training, Renens, SwitzerlandEmotion information processing (EIP) has been recently introduced as a new component of emotional intelligence. We present a task aiming at measuring a type of emotion information processing related to fine-grained discrimination of emotional expressions. We modified an existing task presenting morphed faces created from a blend of two prototypical emotional expressions. Participants’ (N = 154) ability-EI, in particular emotion recognition, understanding and management, as well as intelligence were evaluated. Results show that all facets of EI independently predicted accuracy in the discrimination task and that emotion recognition was the strongest predictor. When controlling for emotion recognition level, we found that emotion understanding still predicted accuracy for less difficult stimuli. Results support the idea that individuals high in EI have higher emotion processing skills at the emotion perception stage of information processing and suggest that the task employed in the current study might measure more spontaneous processing of emotional expressions. Implications regarding the use of the current task as a new measure of the EIP component are discussed.https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1085971/fullability-EIemotion blendsemotional intelligencehypersensitivityemotion information processingemotion discrimination |
| spellingShingle | Christelle Gillioz Maroussia Nicolet-dit-Félix Oliver Wilhelm Marina Fiori Emotional intelligence and emotion information processing: Proof of concept of a test measuring accuracy in discriminating emotions Frontiers in Psychology ability-EI emotion blends emotional intelligence hypersensitivity emotion information processing emotion discrimination |
| title | Emotional intelligence and emotion information processing: Proof of concept of a test measuring accuracy in discriminating emotions |
| title_full | Emotional intelligence and emotion information processing: Proof of concept of a test measuring accuracy in discriminating emotions |
| title_fullStr | Emotional intelligence and emotion information processing: Proof of concept of a test measuring accuracy in discriminating emotions |
| title_full_unstemmed | Emotional intelligence and emotion information processing: Proof of concept of a test measuring accuracy in discriminating emotions |
| title_short | Emotional intelligence and emotion information processing: Proof of concept of a test measuring accuracy in discriminating emotions |
| title_sort | emotional intelligence and emotion information processing proof of concept of a test measuring accuracy in discriminating emotions |
| topic | ability-EI emotion blends emotional intelligence hypersensitivity emotion information processing emotion discrimination |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1085971/full |
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