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This paper investigates novel ways to direct computers by eye gaze. Instead of using fixations and dwell times, this work focuses on eye motion, in particular gaze gestures. Gaze gestures are insensitive to accuracy problems and immune against calibration shift. A user study indicates that users are able to perform complex gaze gestures intentionally and investigates which gestures occur unintentionally during normal interaction with the computer. Further experiments show how gaze gestures can be integrated into working with standard desktop applications and controlling media devices.

In this paper, we present a data and an execution model that allow for efficient storage and retrieval of XML documents in a relational database. The data model is strictly based on the notion of binary associations: by decomposing XML documents into small, flexible and semantically homogeneous units we are able to exploit the performance potential of vertical fragmentation. Moreover, our approach provides clear and intuitive semantics, which facilitates the definition of a declarative query algebra. Our experimental results with large collections of XML documents demonstrate the effectiveness of the techniques proposed.