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Theses

La reconnaissance des émotions à partir d’émoticônes graphiques : des recherches expérimentales à l’étude des usages sur une webradio

Abstract : Emoticons are often used in digital environments to convey emotions. Although a wide variety of emoticons exist, little is known about how they convey emotions compared to other modes of expression, and few studies have looked at their use in a school setting. In this thesis, four studies (N = 291) were carried out to design “new” emoticons to unambiguously represent the six basic emotions, three studies (N = 957) sought to compare the quality of recognition of emotions from these “new” emoticons in relation to other modes of expression, and particularly facial expressions. A final study examined the way in which these emoticons are used on a webradio by middle school students (N = 204). The results showed that the “new” emoticons convey emotions more effectively and more intensely than facial expressions and emoticons from Facebook and iOS. This improved recognition is mainly due to the negative emotions of disgust and sadness. By including these "new" emoticons on the Wikiradio© Saooti made it possible to study their uses in an academic setting. The results showed that, regardless of the gender of the middle school students, the use of the emoticon conveying happiness was the preferred way to express emotions toward programmes produced by peers. These results suggest there is a need to design specific emoticons to convey emotions unambiguously in digital environments and to study their effects on behaviour.
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https://tel.archives-ouvertes.fr/tel-03254864
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Submitted on : Wednesday, June 9, 2021 - 11:09:07 AM
Last modification on : Friday, June 11, 2021 - 3:13:51 AM

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  • HAL Id : tel-03254864, version 1

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Anthony Cherbonnier. La reconnaissance des émotions à partir d’émoticônes graphiques : des recherches expérimentales à l’étude des usages sur une webradio. Psychologie. Université Rennes 2, 2021. Français. ⟨NNT : 2021REN20005⟩. ⟨tel-03254864⟩

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