Activity-aware recommendation for collaborative work in operating rooms

Afsaneh Doryab, Julian Togelius, Jakob E. Bardram

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper presents a recommender system for teams of medical professionals working collaboratively in hospital operating rooms. The system recommends relevant virtual actions, such as retrieval of information resources and initiation of communication with professionals outside the operating rooms. Recommendations are based on the current state of the ongoing operation as recognised from sensor data using machine learning techniques. The selection and non-selection of virtual actions during operations are interpreted as implicit feedback and used to update the weight matrices that guide recommendations. A pilot user study involving medical professionals indicates that the adaptation mechanism is effective and that the system provides adequate recommendations.

    Original languageEnglish (US)
    Title of host publicationIUI'12 - Proceedings of the 17th International Conference on Intelligent User Interfaces
    Pages301-304
    Number of pages4
    DOIs
    StatePublished - 2012
    Event2012 17th ACM International Conference on Intelligent User Interfaces, IUI'12 - Lisbon, Portugal
    Duration: Feb 14 2012Feb 17 2012

    Publication series

    NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

    Other

    Other2012 17th ACM International Conference on Intelligent User Interfaces, IUI'12
    CountryPortugal
    CityLisbon
    Period2/14/122/17/12

    Keywords

    • Collaborative work
    • Context-aware
    • Hospitals
    • Information retrieval
    • Operating room
    • Recommendation

    ASJC Scopus subject areas

    • Software
    • Human-Computer Interaction

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  • Cite this

    Doryab, A., Togelius, J., & Bardram, J. E. (2012). Activity-aware recommendation for collaborative work in operating rooms. In IUI'12 - Proceedings of the 17th International Conference on Intelligent User Interfaces (pp. 301-304). (International Conference on Intelligent User Interfaces, Proceedings IUI). https://doi.org/10.1145/2166966.2167023