The Measurable Me: The Influence of Self-Quantification on the Online User's Decision-Making Process

Mimmi Sjöklint

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    The advancement of information technology, online accessibility and wearable computing is fostering a new playground for users to engage with quantified data sets. On one hand, the online user is continuously yet passively exposed to different types of quantified data in online interfaces and mobile apps. On the other hand, the user may actively and knowingly be gathering quantified data through ubiquitous sensory devices, such as wearable technology, e.g. the Jawbone UP and Fitbit. In both instances, the user is exposed to versions of self-quantified measures, namely the aggregation and transformation of personally attributed activity into quantified data. This study approaches the adoption of wearables by looking at active and passive self-quantification online and explores how it may influence and support the user's cognitive processes and subsequent decision-making process.
    Original languageEnglish
    Title of host publicationProceedings of the 2014 ACM International Symposium on Wearable Computers: Adjunct Program
    EditorsLucy Dunne, Tom Martin, Michael Beigl
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery
    Publication date2014
    Article number2642737
    ISBN (Print)9781450330480
    Publication statusPublished - 2014
    EventThe 18th International Symposium on Wearable Computers. ISWC 2014 - Seattle, United States
    Duration: 13 Sep 201417 Sep 2014
    Conference number: 18


    ConferenceThe 18th International Symposium on Wearable Computers. ISWC 2014
    Country/TerritoryUnited States
    Internet address

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