589
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-article

      , ,

      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

      Bookmark

            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.

            Content

            Author and article information

            Contributors
            Conference
            July 2016
            July 2016
            : 1-9
            Affiliations
            [0001]Computing Science

            University of Aberdeen

            UK
            Article
            10.14236/ewic/HCI2016.44
            d91eb4a2-2a16-4b92-ae7d-b4f69315e132
            © 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

            REFERENCES

            1. 2008 The sound of sarcasm Speech communication 50 5 366 381

            2. 2014 Emoticons in mind:An event-related potential study Social neuroscience 9 2 196 202

            3. 2013 Towards effective emotional support for community first responders experiencing stress Int Conf Affect Comput Intell Interact.

            4. 2007 Exploring the missing wink: emoticons in cyberspace Dissertation - Open University of Netherlands, Leiderdorp.

            5. 2007 Emoticons and online message interpretation Social Science Computer Review.

            6. 2008 Emoticons in computer-mediated communication: Social motives and social context CyberPsychology & Behavior 11 1 99 101

            7. 1975 Unmasking the face: A guide to recognizing emotions from facial clues. Englewood Cliffs Prentice Hall

            8. et al. (1987 Universals and cultural differences in the judgments of facial expressions of emotion Journal of personality and social psychology 53 4 712

            9. 2016 Inside facebook’s decision to blow up the like button Available from http://www.bloomberg.com/features/2016-facebook-reactions-chris-cox/ 24/05/2016

            10. 2013 Exploiting emoticons in sentiment analysis Proceedings of the 28th Annual ACM Symposium on Applied Computing pp. 703 710 ACM

            11. 2007 Internet self help and support groups: The pros and cons of textbased mutual aid Psychology and the Internet: Intrapersonal, interpersonal and transpersonal implications 221 244

            12. 2002 This computer responds to user frustration:: Theory, design, and results Interacting with computers 14 2 119 140

            13. 1993 Looking at pictures: Affective, facial, visceral, and behavioral reactions Psychophysiology 30 3 261 273

            14. 2008 The nonverbal communication functions of emoticons in computer-mediated communication CyberPsychology & Behavior 11 5 595 597

            15. 1996 Perceiving affect from the voice and the face Psychonomic Bulletin & Review 3 2 215 221

            16. 2016 Why and how I created emoji: Interview with shigetaka kurita Available from http://ignition.co/105 24/05/2016

            17. 2013 Emoticon style: Interpreting differences in emoticons across cultures Seventh International AAAI Conference on Weblogs and Social Media.

            18. 2005 The empathic companion: A character-based interface that addresses users’affective states Applied AI 19 3-4 267 285

            19. 2014 Authenticity and well-being on social network sites: A two-wave longitudinal study on the effects of online authenticity and the positivity bias in sns communication Computers in Human Behavior 30 95 102

            20. 2011 Meaningful signs?emoticons Theory and Practice in Language Studies 1 1 91 94

            21. 1991 Vocal cues in emotion encoding and decoding Motivation and emotion 15 2 123 148

            22. 1987 Emotion knowledge: further exploration of a prototype approach Journal of personality and social psychology 52 6 1061

            23. 2015 Assessing the supportiveness of gift emoticons in care scenarios Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems pp. 151 156 ACM

            24. 2014 The development and evaluation of an emotional support algorithm for carers Intelligenza Artificiale.

            25. 2001 Affect analysis of text using fuzzy semantic typing Fuzzy Systems, IEEE Transactions on 9 4 483 496

            26. 2005 emoto: affectively involving both body and mind CHI’05 extended abstracts on Human factors in computing systems. ACM

            27. 2016 Sarcasm in written communication: Emoticons are efficient markers of intention Journal of ComputerMediated Communication 21 2 105 120

            28. 2014 Natural language generation for augmentative and alternative communication Eds.), Natural Language Generation in Interactive Systems 252 277 Cambridge University Press

            29. 2001 The impacts of emoticons on message interpretation in computer-mediated communication Social science computer review 19 3 324 347

            30. 2006 Emoticons convey emotions without cognition of faces: an fmri study CHI’06 extended abstracts on Human factors in computing systems pp. 1565 1570 ACM

            Comments

            Comment on this article