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A New Approach for Visualizing Quantified Self Data Using Avatars
Linnaeus University, Faculty of Technology, Department of Media Technology.ORCID iD: 0000-0003-4162-6475
Linnaeus University, Faculty of Technology, Department of Media Technology.
2016 (English)In: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, New York, NY, USA: ACM Press, 2016, p. 522-527Conference paper, Published paper (Refereed)
Abstract [en]

In recent years, it is becoming more common for people to use applications or devices that keep track of their life and activities, such as physical fitness, places they visited, the music they listen to, or pictures they took. This generates data that are used by the service providers for a variety of (usually analytics) purposes, but commonly there are limitations on how the users themselves can also explore or interact with these data. Our position paper describes a new approach of visualizing such Quantified Self data, in a meaningful and enjoyable way that can give the users personal insights into their own data. The visualization of the information is proposed as an avatar that maps the different activities the user is engaged with, along with each such activity level, as graphical features. An initial prototype (both in terms of graphical design and software architecture) as well as possible future extensions are discussed.

Place, publisher, year, edition, pages
New York, NY, USA: ACM Press, 2016. p. 522-527
Keyword [en]
avatars, data visualization, quantified self
National Category
Media and Communication Technology
Research subject
Computer and Information Sciences Computer Science, Computer Science; Computer Science, Information and software visualization; Computer and Information Sciences Computer Science, Media Technology
Identifiers
URN: urn:nbn:se:lnu:diva-56510DOI: 10.1145/2968219.2968315Scopus ID: 2-s2.0-84991094844ISBN: 978-1-4503-4462-3 (print)OAI: oai:DiVA.org:lnu-56510DiVA, id: diva2:970716
Conference
2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, September 12-16, 2016, Heidelberg
Available from: 2016-09-14 Created: 2016-09-14 Last updated: 2018-01-10Bibliographically approved

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Alissandrakis, ArisNake, Isabella

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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