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Visualizing Excitement of Individuals and Groups
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)ORCID iD: 0000-0002-1907-7820
(ISOVIS)ORCID iD: 0000-0002-8585-3103
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)ORCID iD: 0000-0002-0519-2537
2016 (English)In: Proceedings of the ACM IUI 2016 Workshop on Emotion and Visualization (EmoVis '16) / [ed] Andreas Kerren, Daniel Cernea, and Margit Pohl, Linköping, Sweden: Linköping University Electronic Press, 2016, 15-22 p.Conference paper, Published paper (Refereed)
Abstract [en]

Excitement or arousal is one of the main emotional dimensions that affects our lives on a daily basis. We win a tennis match, watch a great movie, get into an argument with a colleague—all of these are instances when most of us experience excitement, yet we do not pay much attention to it. Today, there are few systems that capture our excitement levels and even fewer that actually promote awareness of our most exciting moments. In this paper, we propose a visualization concept for representing individual and group-level excitement for emotional self-awareness and group-level awareness. The data used for the visualization is obtained from smart wristbands worn by each of the users. The visualization uses animated glyphs to generate a real-time representation for each individual’s excitement levels. We introduce two types of encodings for these glyphs: one focusing on capturing both the current excitement and the excitement history, as well as another focusing only on real-time values and previous peaks. The excitement levels are computed based on measurements of the user’s galvanic skin response and accelerometer data from the wristbands, allowing for a classification of the excitement levels into experienced (excitement without physical manifestation) and manifested excitement. A dynamic clustering of the individual glyphs supports the scalability of our visualization, while at the same time offering an overview of the group-level excitement and its distribution. The results of a preliminary evaluation suggest that the visualization allows users to intuitively and accurately perceive both individual and group-level excitement. 

Place, publisher, year, edition, pages
Linköping, Sweden: Linköping University Electronic Press, 2016. 15-22 p.
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686 ; 103
Keyword [en]
excitement visualization, emotion visualization, group excitement, personal visualization, galvanic skin response
National Category
Computer Science Human Computer Interaction
Research subject
Computer Science, Information and software visualization
Identifiers
URN: urn:nbn:se:lnu:diva-49976DOI: 10.3384/ecp10303ISBN: 978-91-7685-817-2 (print)OAI: oai:DiVA.org:lnu-49976DiVA: diva2:907550
Conference
ACM IUI 2016 Workshop on Emotion and Visualization (EmoVis '16), Sonoma, CA, USA, 2016
Projects
StaViCTA
Funder
Swedish Research Council, 2012-5659
Available from: 2016-02-29 Created: 2016-02-29 Last updated: 2016-04-27Bibliographically approved

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CiteExportLink to record
Permanent link

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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
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  • Other locale
More languages
Output format
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  • text
  • asciidoc
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