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        <title>Investigating the Influence of Users Personality on the Ambiguous Emoji Perception</title>
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            <title>Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media</title>
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        <name type="personal">
            <namePart type="given">Sanjaya</namePart>
            <namePart type="family">Wijeratne</namePart>
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        <name type="personal">
            <namePart type="given">Jennifer</namePart>
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        <name type="personal">
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        <name type="personal">
            <namePart type="given">Amit</namePart>
            <namePart type="family">Sheth</namePart>
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    <abstract>Emojis are an integral part of Internet communication nowadays. Even though, they are supposed to make the text clearer and less dubious, some emojis are ambiguous and can be interpreted in different ways. One of the factors that determine the perception of emojis is the user’s personality. In this work, I conducted an experimental study and investigated how personality traits, measured with a Big Five Inventory (BFI) questionnaire, affect reaction time when interpreting emoji. For a set of emoji, for which there are several possible interpretations, participants had to determine whether the emoji fits the presented context or not. Using regression analysis, I found that conscientiousness and neuroticism significantly predict the reaction time the person needs to decide about the emoji. More conscientious people take longer to resolve ambiguity, while more neurotic people make decisions about ambiguous emoji faster. The knowledge of the relationship between personality and emoji interpretation can lead to effective use of knowledge of people’s characters in personalizing interactive computer systems.</abstract>
    <identifier type="citekey">iarygina-2022-investigating</identifier>
    <identifier type="doi">10.18653/v1/2022.emoji-1.6</identifier>
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%0 Conference Proceedings
%T Investigating the Influence of Users Personality on the Ambiguous Emoji Perception
%A Iarygina, Olga
%Y Wijeratne, Sanjaya
%Y Lee, Jennifer
%Y Saggion, Horacio
%Y Sheth, Amit
%S Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, Washington, USA
%F iarygina-2022-investigating
%X Emojis are an integral part of Internet communication nowadays. Even though, they are supposed to make the text clearer and less dubious, some emojis are ambiguous and can be interpreted in different ways. One of the factors that determine the perception of emojis is the user’s personality. In this work, I conducted an experimental study and investigated how personality traits, measured with a Big Five Inventory (BFI) questionnaire, affect reaction time when interpreting emoji. For a set of emoji, for which there are several possible interpretations, participants had to determine whether the emoji fits the presented context or not. Using regression analysis, I found that conscientiousness and neuroticism significantly predict the reaction time the person needs to decide about the emoji. More conscientious people take longer to resolve ambiguity, while more neurotic people make decisions about ambiguous emoji faster. The knowledge of the relationship between personality and emoji interpretation can lead to effective use of knowledge of people’s characters in personalizing interactive computer systems.
%R 10.18653/v1/2022.emoji-1.6
%U https://aclanthology.org/2022.emoji-1.6
%U https://doi.org/10.18653/v1/2022.emoji-1.6
%P 47-62

Markdown (Informal)

[Investigating the Influence of Users Personality on the Ambiguous Emoji Perception](https://aclanthology.org/2022.emoji-1.6) (Iarygina, Emoji 2022)

• Investigating the Influence of Users Personality on the Ambiguous Emoji Perception (Iarygina, Emoji 2022)

ACL

• Olga Iarygina. 2022. Investigating the Influence of Users Personality on the Ambiguous Emoji Perception. In Proceedings of the Fifth International Workshop on Emoji Understanding and Applications in Social Media, pages 47–62, Seattle, Washington, USA. Association for Computational Linguistics.