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  • Personalisation in Intelligent Environments: Managing the Information Flow

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    31831.pdf (327.8Kb)
    Author(s)
    Chatfield, Craig
    Carmichael, David
    Hexel, Rene
    Kay, Judy
    Kummerfeld, Bob
    Griffith University Author(s)
    Hexel, Rene
    Chatfield, Craig
    Year published
    2005
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    Abstract
    The challenge in intelligent environments is to overcome the dual forms of the Invisibility Problem, specifically when it comes to managing security and privacy in such environments. We present a user study (N = 17) that informs the design of the personalisation that needs to be done to enable users to effectively negotiate and control an intelligent environment, in particular the MyPlace system. This user study finds that trust is a critical aspect of intelligent environment design. Effective feedback to the user and the management of information flow across physical, social, and temporal borders is essential to ...
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    The challenge in intelligent environments is to overcome the dual forms of the Invisibility Problem, specifically when it comes to managing security and privacy in such environments. We present a user study (N = 17) that informs the design of the personalisation that needs to be done to enable users to effectively negotiate and control an intelligent environment, in particular the MyPlace system. This user study finds that trust is a critical aspect of intelligent environment design. Effective feedback to the user and the management of information flow across physical, social, and temporal borders is essential to maintain user trust. Users are able to understand the invisibility problem, and are willing to share personal information to receive a tangible benefit from personalisation of intelligent services.
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    Conference Title
    Proceedings of OZCHI 2005
    Publisher URI
    http://www.ozchi.org/2005/
    http://www.ozchi.org/2005/index.php?id=accepted-long
    Copyright Statement
    © 2005 the authors and CHISIG. Please refer to the link provided for access to the definitive, published version. This is the author-manuscript version of this paper.
    Publication URI
    http://hdl.handle.net/10072/2617
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    • Conference outputs

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