Bubble Coloring to Visualize the Speech Emotion

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dc.contributor.authorChen, Qinyueko
dc.contributor.authorYan, Yuchunko
dc.contributor.authorSuk, Hyeon-Jeongko
dc.date.accessioned2021-06-24T22:30:12Z-
dc.date.available2021-06-24T22:30:12Z-
dc.date.created2021-06-21-
dc.date.issued2021-05-08-
dc.identifier.citationCHI '21: CHI Conference on Human Factors in Computing Systems-
dc.identifier.urihttp://hdl.handle.net/10203/286157-
dc.description.abstractTo explore the emotional effect of the chat bubble's background color on voice messages, we carried out a user survey with Facebook Messenger, WeChat, and KakaoTalk, which use blue, green, and yellow, respectively, as the default color for chat bubbles. We provided the colors in orange, dark red, dark grey, and pale blue when the voice message seemed to be in an excited, angry, sad, or serene mood, respectively. With the exception of the serene, the emotion was intensified through the background color across the three messengers. Concerning willingness to use, the likelihood was reduced, particularly in negative emotions. Based on the empirical evidence, we discussed the potentials and concerns when the method is implemented in voice messaging.-
dc.languageEnglish-
dc.publisherACM-
dc.titleBubble Coloring to Visualize the Speech Emotion-
dc.typeConference-
dc.identifier.scopusid2-s2.0-85105803786-
dc.type.rimsCONF-
dc.citation.publicationnameCHI '21: CHI Conference on Human Factors in Computing Systems-
dc.identifier.conferencecountryJA-
dc.identifier.conferencelocationOnline-
dc.identifier.doi10.1145/3411763.3451698-
dc.contributor.localauthorSuk, Hyeon-Jeong-
dc.contributor.nonIdAuthorChen, Qinyue-
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ID-Conference Papers(학술회의논문)
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