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A Study of Emotion-triggered Adaptation Methods for Interactive Visualization
Linnaeus University, Faculty of Technology, Department of Computer Science. University of Kaiserslautern. (ISOVIS)ORCID iD: 0000-0002-8585-3103
University of Kaiserslautern.
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)ORCID iD: 0000-0002-0519-2537
2013 (English)In: UMAP 2013 Extended Proceedings: Late-Breaking Results, Project Papers and Workshop Proceedings of the 21st Conference on User Modeling, Adaptation, and Personalization. Rome, Italy, June 10-14, 2013 / [ed] Shlomo Berkovsky, Eelco Herder, Pasquale Lops & Olga C. Santos, CEUR-WS.org , 2013, Vol. 997, 9-16 p.Conference paper, Published paper (Refereed)
Abstract [en]

As the size and complexity of datasets increases, both visual-ization systems and their users are put under more pressure to oer quickand thorough insights about patterns hidden in this ocean of data. Whilenovel visualization techniques are being developed to better cope withthe various data contexts, users nd themselves increasingly often undermental bottlenecks that can induce a variety of emotions. In this paper,we execute a study to investigate the eectiveness of various emotion-triggered  adaptation  methods  for  visualization  systems.  The  emotionsconsidered are boredom and frustration, and are measured by means ofbrain-computer interface technology. Our ndings suggest that less intru-sive adaptive methods perform better at supporting users in overcomingemotional states with low valence or arousal, while more intrusive onestend to be misinterpreted or perceived as irritating.

Place, publisher, year, edition, pages
CEUR-WS.org , 2013. Vol. 997, 9-16 p.
Series
CEUR workshop proceedings, ISSN 1613-0073 ; 997
Keyword [en]
Adaptive aective visualization, emotion-based adaptation, adaptive methods, human factors
National Category
Computer Sciences Human Computer Interaction
Research subject
Computer Science, Information and software visualization; Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-25512Scopus ID: 2-s2.0-84924365861OAI: oai:DiVA.org:lnu-25512DiVA: diva2:619562
Conference
1st International Workshop on User-Adaptive Visualization (WUAV '13), June 10-14, 2013, Rome
Available from: 2013-05-05 Created: 2013-05-05 Last updated: 2018-01-11Bibliographically approved

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Cernea, DanielKerren, Andreas

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