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A Survey of Technologies on the Rise for Emotion-Enhanced Interaction
Linnaeus University, Faculty of Technology, Department of Computer Science. University of Kaiserslautern, Germany. (ISOVIS)ORCID iD: 0000-0002-8585-3103
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)ORCID iD: 0000-0002-0519-2537
2015 (English)In: Journal of Visual Languages and Computing, ISSN 1045-926X, E-ISSN 1095-8533, Vol. 31, no A, 70-86 p.Article in journal (Refereed) Published
Abstract [en]

Emotions are a major part of the human existence and social interactions. Some might say that emotions are one of the aspects that make us truly human. However, while we express emotions in various life settings, the world of computing seems to struggle with supporting and incorporating the emotional dimension. In the last decades, the concept of affect has gotten a new upswing in research, moving beyond topics like market research and product development, and further exploring the area of emotion-enhanced interaction.

In this article, we highlight techniques that have been employed more intensely for emotion measurement in the context of affective interaction. Besides capturing the functional principles behind these approaches and the inherent volatility of human emotions, we present relevant applications and establish a categorization of the roles of emotion detection in interaction. Based on these findings, we also capture the main challenges that emotion measuring technologies will have to overcome in order to enable a truly seamless emotion-driven interaction.

Place, publisher, year, edition, pages
Elsevier, 2015. Vol. 31, no A, 70-86 p.
Keyword [en]
Emotion detection, Emotion measurement, Social aspects, Collaboration support, Emotion-driven adaptation, Emotion-enhanced interaction
National Category
Computer Science Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-43357DOI: 10.1016/j.jvlc.2015.10.001ISI: 000366144700006OAI: oai:DiVA.org:lnu-43357DiVA: diva2:814158
Available from: 2015-05-26 Created: 2015-05-26 Last updated: 2016-01-19Bibliographically approved

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Cernea, DanielKerren, Andreas
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf