Personal informatics in practice: Improving quality of life through data

Ian Li, Yevgeniy Medynskiy, Jon Froehlich, Jakob Eg Larsen

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

    Abstract

    Personal informatics refers to a class of software and hardware systems that help individuals collect personal information to improve self-understanding. Improving self-understanding can foster self-insight and promote positive behaviors: healthy living, energy conservation, etc. The development of personal informatics applications poses new challenges for human-computer interaction and creates opportunities for applications in various domains related to quality of life, such as fitness, nutrition, wellness, mental health, and sustainability. This workshop will continue the conversations from the CHI 2010 and CHI 2011 workshops on personal informatics [6][7]. The focal themes for this workshop are: (1) practical lessons from previous research and development experiences that can guide interface design for systems that allow users to collect and reflect on personal data; (2) requirements for building robust personal informatics applications; and (3) design and development of infrastructures that make personal informatics applications easier to create and evaluate.
    Original languageEnglish
    Title of host publicationCHI EA '12 : Extended Abstracts on Human Factors in Computing Systems
    PublisherAssociation for Computing Machinery
    Publication date2012
    Pages2799-2802
    ISBN (Print)978-1-4503-1016-1
    DOIs
    Publication statusPublished - 2012
    EventCHI 2012 Conference - Austin, Texas, United States
    Duration: 5 May 201210 May 2012
    http://chi2012.acm.org

    Conference

    ConferenceCHI 2012 Conference
    Country/TerritoryUnited States
    CityAustin, Texas
    Period05/05/201210/05/2012
    Internet address

    Fingerprint

    Dive into the research topics of 'Personal informatics in practice: Improving quality of life through data'. Together they form a unique fingerprint.

    Cite this