GVU Technical Report Number:
GIT-GVU-91-21
Title:
A Knowledge-Based System for Capturing Human-Computer Interaction
Events: CHIME
Authors:
Albert N. Badre
Paulo J. Santos
Abstract:
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.
Keywords:
User interfaces, human-computer interaction, human-computer interaction
monitoring
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