Frank Krüger

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A consistent user experience in combination with proactive assistance may improve the user performance while interacting with heterogeneous data sources as e.g., occurring in business decision making. We describe our approach which is based on inferring the user intentions from sensory inputs, providing a situation aware information assistance, and(More)
In this paper we describe an implicit user interface for smart environment control: We make our system guess how to assist the user(s) proactively. Our controller is based on two formal descriptions: One that describes user activities, and another that specifies the devices in the environment. Putting both together, we can synthesize a probabilistic model,(More)
Activity recognition is a challenging research problem in ubiquitous computing domain and has to tackle omnipresent uncertainties, e.g., resulting from ambiguous or intermittent sensor readings. In this paper, we introduce an activity recognition approach based on causal modeling and probabilistic plan recognition. To evaluate the performance of our(More)