CHIME: A Knowledge-based Computer-Human Interaction Monitoring Engine
Santos, Paulo J.
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One of the prerequisites to improving the quality of a user interface is the ability to capture and analyze human-computer interaction data. We claim that in order to perform an accurate and extensive analysis of human-computer interaction events, an automatic mechanism has to be used which attends to both the syntax and semantics of interaction. In this paper, we describe such a data capturing tool, and a model of interaction which it uses. We address issues of interference with user work, semantics of the interface, data collection, and integration of the monitor in a UIMS. We claim that the more knowledge a monitor has about the semantics of an application the more useful the data it collects.