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dc.contributor.authorBadre, Albert
dc.contributor.authorSantos, Paulo J.
dc.date.accessioned2004-12-07T15:56:24Z
dc.date.available2004-12-07T15:56:24Z
dc.date.issued1991
dc.identifier.urihttp://hdl.handle.net/1853/3712
dc.description.abstractThe 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.en
dc.format.extent1483206 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technologyen
dc.relation.ispartofseriesGVU Technical Report;GIT-GVU-91-21
dc.subjectUser interfacesen
dc.subjectHuman-computer interactionen
dc.subjectHuman-computer interaction monitoringen
dc.titleA Knowledge-Based System for Capturing Human-Computer Interaction Events: CHIMEen
dc.typeTechnical Reporten


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