Identifying factors that influence the acceptability of smart devices: implications for recommendations

    Kai Zhan
    Kai Zhan
    Andisheh Partovi
    Andisheh Partovi

    User Model. User-Adapt. Interact., pp. 391-423, 2018.

    Cited by: 0|Bibtex|Views9|Links
    EI
    Keywords:
    Users’ attitudes towards devices and tasksDevice acceptabilityLatent device featuresGenerating user-profiling questionsRecommender systems

    Abstract:

    This paper presents results from a web-based study that investigates users’ attitudes toward smart devices, focusing on acceptability. Specifically, we conducted a survey that elicits users’ ratings of devices in isolation and devices in the context of tasks potentially performed by these devices. Our study led to insights about users’ at...More

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