A Knowledge-Based System for Capturing Human-Computer Interaction Events: CHIME
Santos, Paulo J.
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The ability to capture and analyze human-computer interaction (HCI) data is an important part of the iterative interface development process. In this paper, we claim that in order to perform accurate and extensive analysis of HCI events, an automated technique has to be used. We describe steps towards identifying desirable features of such a technique and present a list of those features. We present the key characteristics and architecture of a knowledge-based monitoring system, CHIME. We claim that the more knowledge a monitor has about the semantics of an application the more useful the data it collects. Finally, we report on the results of an exploratory study to assess the adequacy of key CHIME assumptions and architecture.