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Detecting Insight and Emotion in Visualization Applications with a Commercial EEG Headset
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0002-8585-3103
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics. (ISOVIS)ORCID iD: 0000-0002-0519-2537
2011 (English)In: Proceedings of the SIGRAD 2011 Conference on Evaluations of Graphics and Visualization - Efficiency, Usefulness, Accessibility, Usability, KTH, Stockholm, Sweden., Linköping: Linköping University Electronic Press , 2011, 53-60 p.Conference paper, (Refereed)
Abstract [en]

Insight represents a special element of knowledge building. From the beginning of their lives, humans experience moments of insight in which a certain idea or solution becomes as clear to them as never before. Especially in the field of visual representations, insight has the potential to be at the core of comprehension and pattern recognition. Still, one problem is that this moment of clarity is highly unpredictable and complex in nature, and many scientists have investigated different aspects of its generation process in the hope of capturing the essence of this eureka (Greek, for "I have found") moment.

In this paper, we look at insight from the spectrum of information visualization. In particular, we inspect the possible correlation between epiphanies and emotional responses subjects experience when having an insight. In order to check the existence of such a connection, we employ a set of initial tests involving the EPOC mobile electroencephalographic (EEG) headset for detecting emotional responses generated by insights. The insights are generated by open-ended tasks that take the form of visual riddles and visualization applications. Our results suggest that there is a strong connection between insight and emotions like frustration and excitement. Moreover, measuring emotional responses via EEG during an insight-related problem solving results in non-intrusive, nearly automatic detection of the major Aha! moments the user experiences. We argue that this indirect detection of insights opens the door for the objective evaluation and comparison of various visualizations techniques.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press , 2011. 53-60 p.
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686 ; 65
Keyword [en]
Visualization, EEG, Insight, Emotion, Information Visualization
National Category
Computer Science
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-15764ISBN: 978-91-7393-008-6 (print)OAI: oai:DiVA.org:lnu-15764DiVA: diva2:455497
Available from: 2011-11-10 Created: 2011-11-10 Last updated: 2015-06-08Bibliographically 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
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf