Applications of context-aware computing in hospital work: examples and design principles
Proceedings of the 2004 ACM symposium on Applied computing
TaskTracer: a desktop environment to support multi-tasking knowledge workers
Proceedings of the 10th international conference on Intelligent user interfaces
CAAD: an automatic task support system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Human-Computer Interaction
Recommender Systems Handbook
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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.