Understanding the user’s acceptance of a sensor-based ambient assisted living application

Christina Jaschinski, Somaya Ben Allouch

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    Abstract

    In this paper the acceptance of a sensor-based Ambient Assisted Living (AAL) application is investigated. To get an insight into the users’ perception and needs, three fictive use scenarios were created that illustrated the potential features of the technology. Consequently, the scenarios were presented to primary (i.e., older adults) and secondary (i.e., formal and informal caregivers) user groups. Through focus groups and semi-structured interviews in France, UK and Belgium, fourteen design implications could be identified based on the preliminary analyses of the users’ feedback. These implications will direct the future testing and development of the conceptual technology and can be meaningful to related AAL applications.

    Original languageEnglish
    Title of host publicationHuman Behavior Understanding - 6th International Workshop, HBU 2015, Proceedings
    EditorsAlbert Ali Salah, Ben J.A. Kröse, Diane J. Cook
    PublisherSpringer
    Pages13-25
    Number of pages13
    Volume9277
    ISBN (Electronic)978-3-319-24195-1
    ISBN (Print)978-3-319-24194-4
    DOIs
    Publication statusPublished - 2015

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9277
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Keywords

    • Ambient Assisted Living (AAL)
    • Older adults
    • Technology acceptance behavior
    • User-centered design

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  • Cite this

    Jaschinski, C., & Ben Allouch, S. (2015). Understanding the user’s acceptance of a sensor-based ambient assisted living application. In A. A. Salah, B. J. A. Kröse, & D. J. Cook (Eds.), Human Behavior Understanding - 6th International Workshop, HBU 2015, Proceedings (Vol. 9277, pp. 13-25). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9277). Springer. https://doi.org/10.1007/978-3-319-24195-1_2