Categorized Affective Pictures Database; tested on adults - rated appropriate for kids

The current study aimed to create a database of emotional pictures that would be suitable for studying participants of a wide age range (from the age of 5 years old). To create this database, experts evaluated whether pictures were suitable for young viewers. Next, we presented the pictures to a large group of adults and asked them to select each picture's emotional category, and then rate their confidence level and the intensity level of the pictures. An additional goal was to investigate the representation of all 10 emotional categories, reliability of norming data, and potential associations among emotional categories. We found that at least six emotions achieved a high consensus. Comparing our results with CAP-D data, collected in 2018, indicated high correlation. Last but not least, we identified coherent patterns of associations within both the positive and negative emotion domains, as well as distinct pairwise associations between specific emotions. To conclude, we provide adults' norms (dominant emotion, intensity ratings, etc.) regarding emotional categorization triggered by 566 pictures, which may be suitable for experiments across various age groups, including children.

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Publication Details

Journal
Acta Psychologica
Published
2025-07-24
DOI
https://doi.org/10.1016/j.actpsy.2025.105321
Citations
1
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
2.12
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article

Categorized Affective Pictures Database; tested on adults - rated appropriate for kids

Avishai Henik, Ilona Glebov-Russinov
1 citations
Acta Psychologica
Emotion and Mood Recognition
2.12
article

Categorized Affective Pictures Database; tested on adults - rated appropriate for kids

Avishai Henik, Ilona Glebov-Russinov
article en
1 citations

Abstract

The current study aimed to create a database of emotional pictures that would be suitable for studying participants of a wide age range (from the age of 5 years old). To create this database, experts evaluated whether pictures were suitable for young viewers. Next, we presented the pictures to a large group of adults and asked them to select each picture's emotional category, and then rate their confidence level and the intensity level of the pictures. An additional goal was to investigate the representation of all 10 emotional categories, reliability of norming data, and potential associations among emotional categories. We found that at least six emotions achieved a high consensus. Comparing our results with CAP-D data, collected in 2018, indicated high correlation. Last but not least, we identified coherent patterns of associations within both the positive and negative emotion domains, as well as distinct pairwise associations between specific emotions. To conclude, we provide adults' norms (dominant emotion, intensity ratings, etc.) regarding emotional categorization triggered by 566 pictures, which may be suitable for experiments across various age groups, including children.

Acta PsychologicaVol. 259
Ben-Gurion University of the Negev (IL)
Quality Education
Openalex Percentile: Top 12%
Emotion and Mood Recognition
2.12
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