FuturePD. the future of personal data: envisioning new personalized services enabled by quantified self technologies

A. Rapp, F. Cena, J. Kay, B. Kummerfeld, F. Hopfgartner, J.E. Larsen, E. van den Hoven

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    40 Downloads (Pure)

    Abstract

    Quantified Self is rising new challenges for user modeling and personalization. In this workshop we aim at exploring the future of personalized services enabled by Quantified Self technologies

    Original languageEnglish
    Title of host publicationLate-breaking Results, Posters, Demos, Doctoral Consortium and Workshops Proceedings of the 24th ACM Conference on User Modeling, Adaptation and Personalisation (UMAP 2016)
    PublisherCEUR-WS.org
    Number of pages3
    Publication statusPublished - 2016
    Event24th International Conference on User Modeling, Adaptation and Personalisation, UMAP 2016 - campus of Dalhousie University , Halifax, Canada
    Duration: 13 Jul 201616 Jul 2016
    Conference number: 24
    http://www.um.org/umap2016/

    Publication series

    NameCEUR Workshop Proceedings
    Volume1618
    ISSN (Print)1613-0073

    Conference

    Conference24th International Conference on User Modeling, Adaptation and Personalisation, UMAP 2016
    Abbreviated titleUMAP 2016
    Country/TerritoryCanada
    CityHalifax
    Period13/07/1616/07/16
    Internet address

    Keywords

    • Personal informatics
    • Personalization
    • Quantified Self

    Fingerprint

    Dive into the research topics of 'FuturePD. the future of personal data: envisioning new personalized services enabled by quantified self technologies'. Together they form a unique fingerprint.

    Cite this