Blog
About

214
views
0
recommends
+1 Recommend
1 collections
    4
    shares
      • Record: found
      • Abstract: found
      • Conference Proceedings: found
      Is Open Access

      Expressing Emotions as Emoticons for Online Intelligent Agents

      , ,

      Proceedings of the 30th International BCS Human Computer Interaction Conference (HCI)

      Fusion

      11 - 15 July 2016

      emotions, emoticons, affective computing, user-centered design, virtual agents, online communication

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Without emotional annotation, online communication can be ambiguous and lead to misunderstandings. This paper addresses the questions of which emotions are commonly expressed online, how these emotions can be encapsulated in emoticons, and how people respond to different emotions. In 10 focus groups with university students we found that some emotions are not frequently expressed online (e.g. aggravation, alienantion and torment), while many others were commonly used (e.g. enthusiasm, anger, amusement, amazement and disgust). Emoticons were drawn or described for nine commonly expressed emotions, and the response discussed. Audience was a key component in how people used emoticons, both for use and interpretation. Participants preferred to ‘defuse’ negative emotions such as anger and rage with light-hearted comments, supporting previous findings on a positivity bias on many social networks. These findings have implications for online communication and the design of intelligent virtual agents.

          Related collections

          Most cited references 32

          • Record: found
          • Abstract: found
          • Article: not found

          Universals and cultural differences in the judgments of facial expressions of emotion.

          We present here new evidence of cross-cultural agreement in the judgement of facial expression. Subjects in 10 cultures performed a more complex judgment task than has been used in previous cross-cultural studies. Instead of limiting the subjects to selecting only one emotion term for each expression, this task allowed them to indicate that multiple emotions were evident and the intensity of each emotion. Agreement was very high across cultures about which emotion was the most intense. The 10 cultures also agreed about the second most intense emotion signaled by an expression and about the relative intensity among expressions of the same emotion. However, cultural differences were found in judgments of the absolute level of emotional intensity.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The Impacts of Emoticons on Message Interpretation in Computer-Mediated Communication

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Vocal cues in emotion encoding and decoding

                Bookmark

                Author and article information

                Contributors
                Conference
                July 2016
                July 2016
                : 1-9
                Affiliations
                Computing Science

                University of Aberdeen

                UK
                Article
                10.14236/ewic/HCI2016.44
                © A. Smith et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2016 Conference Fusion, Bournemouth, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Proceedings of the 30th International BCS Human Computer Interaction Conference
                HCI
                30
                Bournemouth University, Poole, UK
                11 - 15 July 2016
                Electronic Workshops in Computing (eWiC)
                Fusion
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

                Comments

                Comment on this article