Analysis of emotion recognition through 2D micro-animations of an illustrated character's face
Emotions make up a large part of everyday communication. Humans learn to recognize emotions by observing others and by referencing their feelings with the emotions of other people. Also, in cartoons, commercials, posts, etc., it's important that the design of the characters keeps the recogniti...
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Language: | English |
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University of Novi Sad
2024-12-01
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Series: | Journal of Graphic Engineering and Design |
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Online Access: | https://jged.uns.ac.rs/index.php/jged/article/view/1474/1436 |
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author | Sinja Stres Helena Gabrijelčič Tomc |
author_facet | Sinja Stres Helena Gabrijelčič Tomc |
author_sort | Sinja Stres |
collection | DOAJ |
description | Emotions make up a large part of everyday communication. Humans learn to recognize emotions by observing others and by referencing their feelings with the emotions of other people. Also, in cartoons, commercials, posts, etc., it's
important that the design of the characters keeps the recognition of emotions high. Expressed emotions provide a better connection between the character and the viewer, making the message more understandable and tangible. This study analyses the recognition of animated facial expressions depicting different emotions on the face of an illustrated character. The accuracy of recognition of six basic emotional expressions (joy, sadness, anger, surprise, fear, and disgust) was compared. Using micro-animation techniques, each emotion was presented in three levels of intensity (a subtle version, a normal version, and an exaggerated version). Emotion recognition was analysed with a method of metric analysis of viewing and surveying that measured recognition time and accuracy in addition to the correctness of the characters' emotion recognition. Statistically relevant differences between the results of animated emotion recognition as a function of recognition time and type of recognition task were examined. The results show how recognition changed as a function of the emotion shown and intensity, and provide a deeper understanding of micro-animations and facial expressions on the animated character's face. Statistically relevant differences were found especially in the recognition of the emotions disgust and anger compared to the recognition of the emotion joy, surprise, fear. Based on the results, guidelines are given to help animators answer the question of which emotions need to be particularly exaggerated to be correctly recognised and which emotions can be animated more subtly without affecting emotional perception. |
format | Article |
id | doaj-art-d3b1b407519c4b55b093b0d130dc7e2e |
institution | Kabale University |
issn | 2217-379X 2217-9860 |
language | English |
publishDate | 2024-12-01 |
publisher | University of Novi Sad |
record_format | Article |
series | Journal of Graphic Engineering and Design |
spelling | doaj-art-d3b1b407519c4b55b093b0d130dc7e2e2025-01-06T13:55:10ZengUniversity of Novi SadJournal of Graphic Engineering and Design2217-379X2217-98602024-12-01154294310.24867/JGED-2024-4-029Analysis of emotion recognition through 2D micro-animations of an illustrated character's faceSinja Stres0Helena Gabrijelčič Tomc1https://orcid.org/0000-0002-0192-4833University of Ljubljana, Faculty of Natural Sciences and Engineering, Department of Textiles, Graphic Arts and Design, Ljubljana, SloveniaUniversity of Ljubljana, Faculty of Natural Sciences and Engineering, Department of Textiles, Graphic Arts and Design, Ljubljana, SloveniaEmotions make up a large part of everyday communication. Humans learn to recognize emotions by observing others and by referencing their feelings with the emotions of other people. Also, in cartoons, commercials, posts, etc., it's important that the design of the characters keeps the recognition of emotions high. Expressed emotions provide a better connection between the character and the viewer, making the message more understandable and tangible. This study analyses the recognition of animated facial expressions depicting different emotions on the face of an illustrated character. The accuracy of recognition of six basic emotional expressions (joy, sadness, anger, surprise, fear, and disgust) was compared. Using micro-animation techniques, each emotion was presented in three levels of intensity (a subtle version, a normal version, and an exaggerated version). Emotion recognition was analysed with a method of metric analysis of viewing and surveying that measured recognition time and accuracy in addition to the correctness of the characters' emotion recognition. Statistically relevant differences between the results of animated emotion recognition as a function of recognition time and type of recognition task were examined. The results show how recognition changed as a function of the emotion shown and intensity, and provide a deeper understanding of micro-animations and facial expressions on the animated character's face. Statistically relevant differences were found especially in the recognition of the emotions disgust and anger compared to the recognition of the emotion joy, surprise, fear. Based on the results, guidelines are given to help animators answer the question of which emotions need to be particularly exaggerated to be correctly recognised and which emotions can be animated more subtly without affecting emotional perception.https://jged.uns.ac.rs/index.php/jged/article/view/1474/14362d animationmicro-animationdisplaying emotionsmicro-expressionscharacter design |
spellingShingle | Sinja Stres Helena Gabrijelčič Tomc Analysis of emotion recognition through 2D micro-animations of an illustrated character's face Journal of Graphic Engineering and Design 2d animation micro-animation displaying emotions micro-expressions character design |
title | Analysis of emotion recognition through 2D micro-animations of an illustrated character's face |
title_full | Analysis of emotion recognition through 2D micro-animations of an illustrated character's face |
title_fullStr | Analysis of emotion recognition through 2D micro-animations of an illustrated character's face |
title_full_unstemmed | Analysis of emotion recognition through 2D micro-animations of an illustrated character's face |
title_short | Analysis of emotion recognition through 2D micro-animations of an illustrated character's face |
title_sort | analysis of emotion recognition through 2d micro animations of an illustrated character s face |
topic | 2d animation micro-animation displaying emotions micro-expressions character design |
url | https://jged.uns.ac.rs/index.php/jged/article/view/1474/1436 |
work_keys_str_mv | AT sinjastres analysisofemotionrecognitionthrough2dmicroanimationsofanillustratedcharactersface AT helenagabrijelcictomc analysisofemotionrecognitionthrough2dmicroanimationsofanillustratedcharactersface |