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

Mimmi Sjöklint

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

    Abstract

    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.
    OriginalsprogEngelsk
    TitelProceedings of the 2014 ACM International Symposium on Wearable Computers: Adjunct Program
    RedaktørerLucy Dunne, Tom Martin, Michael Beigl
    UdgivelsesstedNew York
    ForlagAssociation for Computing Machinery
    Publikationsdato2014
    Sider131-137
    Artikelnummer2642737
    ISBN (Trykt)9781450330480
    DOI
    StatusUdgivet - 2014
    BegivenhedThe 18th International Symposium on Wearable Computers. ISWC 2014 - Seattle, USA
    Varighed: 13 sep. 201417 sep. 2014
    Konferencens nummer: 18
    http://iswc.net/iswc14/

    Konference

    KonferenceThe 18th International Symposium on Wearable Computers. ISWC 2014
    Nummer18
    Land/OmrådeUSA
    BySeattle
    Periode13/09/201417/09/2014
    Internetadresse

    Emneord

    • Quantified self
    • Self-quantification
    • Pointification
    • Personal informatics
    • Behavioral economics
    • Push and pull effect
    • Decision-making
    • Cognitive processes
    • Wearable technology
    • Ubiquitous sensory devices

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