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Smile to Me: Investigating Emotions and their Representation in Text-based Messaging in the Wild

Autor(en):
Poguntke, Romina [DBLP] ;
Mantz, Tamara [DBLP] ;
Hassib, Mariam [DBLP] ;
Schmidt, Albrecht [DBLP] ;
Schneegaß, Stefan [DBLP]
Zusammenfassung
Emotions are part of human communication shaping mimics and representing feelings. For this, conveying emotions has been integrated in text-based messaging applications using emojis. While visualizing emotions in text messages has been investigated in previous work, we studied the effects of emotion sharing by augmented the WhatsApp Web user interface – a text messenger people already use on daily basis. For this, we designed and developed four different visualizations to represent emotions detected through facial expression recognition of chat partners using a web cam. Investigating emotion representation and its effects, we conducted a four weeks longitudinal study with 28 participants being inquired via 48 semistructured interviews and 64 questionnaires. Our findings revealed that users want to maintain control over their emotions, particularly regarding sharing, and that they preferably view positive emotions avoiding unpleasant social situations. Based on these insights, we phrased four design recommendations stimulating novel approaches for augmenting chats.
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Poguntke, R., Mantz, T., Hassib, M., Schmidt, A. & Schneegaß, S., (2019). Smile to Me: Investigating Emotions and their Representation in Text-based Messaging in the Wild. In: Alt, F., Bulling, A. & Döring, T. (Hrsg.), Mensch und Computer 2019 - Tagungsband. New York: ACM. DOI: 10.1145/3340764.3340795
@inproceedings{mci/Poguntke2019,
author = {Poguntke, Romina AND Mantz, Tamara AND Hassib, Mariam AND Schmidt, Albrecht AND Schneegaß, Stefan},
title = {Smile to Me: Investigating Emotions and their Representation in Text-based Messaging in the Wild},
booktitle = {Mensch und Computer 2019 - Tagungsband},
year = {2019},
editor = {Alt, Florian AND Bulling, Andreas AND Döring, Tanja} ,
doi = { 10.1145/3340764.3340795 },
publisher = {ACM},
address = {New York}
}

Weitere Information zum Dokument oder der Volltext des Dokuments sind auf einem externen Server verfuegbar: https://dl.acm.org/authorize?N681261

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Mehr Information

DOI: 10.1145/3340764.3340795
Datum: 2019
Sprache: en (en)
Typ: Text/Conference Paper

Keywords

  • Affective computing
  • emotion recognition
  • text-based messaging.
Sammlungen
  • Tagungsband MuC 2019 [134]

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Über uns | FAQ | Hilfe | Impressum | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.