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Embodied Quantification of Self: Motivating and Informing Action in Self-Tracking
Umeå University, Faculty of Social Sciences, Department of Informatics.
Umeå University, Faculty of Social Sciences, Department of Informatics.
2017 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Technical advancements allow for increasingly sophisticated methods of self-tracking. Despite this, the ways in which we interact with our numerical representations seem not to have progressed equally, making it challenging to use the data in meaningful ways. This prevents us from making the most of self-tracking in order to facilitate a healthier lifestyle and self-improvement. In this study, we show how Dourish’s Embodied Interaction can motivate acting based on self-tracked data, with the example of walking. We conducted evaluations with experts and users of a software prototype that is built on the notion of embodiment. Based on the results, we draw a number of conclusions about the usefulness of Embodied Interaction in this area: That digital applications can support physical activity through providing context, motivation and feedback; that self-tracking applications should focus on goals rather than data; that motivation might be increased by placing the users efforts in a context that transcends them as individuals; and that Embodied Interaction offers a rich field of possibilities which are yet to be discovered. 

Place, publisher, year, edition, pages
2017. , 35 p.
Series
Informatik Student Paper Master (INFSPM), SPM 2017.08
Keyword [en]
Embodied Interaction, Self-Tracking, Quantified Self, Persuasive Technologies, Motivation
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:umu:diva-136555OAI: oai:DiVA.org:umu-136555DiVA: diva2:1112046
Educational program
Master's Programme in Human-Computer Interaction
Supervisors
Examiners
Available from: 2017-06-20 Created: 2017-06-19 Last updated: 2017-06-20Bibliographically approved

Open Access in DiVA

Thesis(2667 kB)23 downloads
File information
File name FULLTEXT01.pdfFile size 2667 kBChecksum SHA-512
6ded0e034939b79b0a525956a4fbe9d7d014bb1dd1c4c276c3fc63a567eed38875e73ea795e80f5e22a669cd1797247e2c171a07eb3c17c409ceb6d81c7389ab
Type fulltextMimetype application/pdf

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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