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Exploring non-verbal communications in mobile text chat: emotion-enhanced chat

Published: 26 October 2014 Publication History

Abstract

Human communication is greatly carried out non-verbally. All this information is lost in mobile text messaging. This work describes an attempt to augment text chatting in mobile phones by adding automatically detected facial expression reactions and reading status, to conversations. These expressions are detected using known image processing techniques. Known related work, concerning the investigation of non-verbal communication through text messaging are considered and distinguished from the present solution. The conception and implementation of a mobile phone application with the debated feature is described and user studies are narrated. Finally, context of application, conclusions and future work are also discussed.

References

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Neustaedter, C., Greenberg, S. Intimacy in Long-Distance Relationships over Video Chat. CHI '12 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Pages 753--762. ACM New York, NY, USA 2012
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Bosma, W., Andre, E. Exploiting emotions to disambiguate dialogue acts. IUI '04 Proceedings of the 9th international conference on Intelligent user interfaces. Pages 85--92. ACM New York, NY, USA 2004.
[3]
Barros, L., Rodríguez, P., Ortigosa, A. Emotion Recognition in Texts for User Model Augmenting. INTERACCION '12 Proceedings of the 13th International Conference on Interacción Persona-Ordenador. Article No. 45. ACM New York, NY, USA 2012.
[4]
Detecting Deceptive Chat-Based Communication Using Typing Behavior and Message Cues. ACM Transactions on Management Information Systems (TMIS) TMIS Homepage archive. Volume 4 Issue 2, August 2013. Article No. 9. ACM New York, NY, USA.
[5]
Wang, H., Predinger, H., Igarashi, T. Communicating Emotions in Online Chat Using Physiological Sensors and Animated Text. CHI EA '04 CHI '04 Extended Abstracts on Human Factors in Computing Systems. Pages 1171--1174. ACM New York, NY, USA, 2004.
[6]
XMPP Standards Foundation, http://www.xmpp.org
[7]
Rekognition APIs and SDK, https://rekognition.com

Cited By

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  • (2024)Reflective Design for Informal Participatory Algorithm Auditing: A Case Study with Emotion AIProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685411(1-17)Online publication date: 13-Oct-2024

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  1. Exploring non-verbal communications in mobile text chat: emotion-enhanced chat

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    NordiCHI '14: Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational
    October 2014
    361 pages
    ISBN:9781450325424
    DOI:10.1145/2639189
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 October 2014

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    Author Tags

    1. affective user interfaces
    2. dialogue acts
    3. multimodal integration
    4. non-verbal communication

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    NordiCHI '14 Paper Acceptance Rate 89 of 361 submissions, 25%;
    Overall Acceptance Rate 379 of 1,572 submissions, 24%

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    View all
    • (2024)Reflective Design for Informal Participatory Algorithm Auditing: A Case Study with Emotion AIProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685411(1-17)Online publication date: 13-Oct-2024

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