A Knowledge-Based System for Capturing Human-Computer Interaction Events: CHIME

Badre, Albert N.; Santos, Paulo J.

Title:

A Knowledge-Based System for Capturing Human-Computer Interaction Events: CHIME

dc.contributor.author	Badre, Albert N.
dc.contributor.author	Santos, Paulo J.
dc.date.accessioned	2004-12-07T15:56:24Z
dc.date.available	2004-12-07T15:56:24Z
dc.date.issued	1991
dc.description.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.	en
dc.format.extent	1483206 bytes
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/1853/3712
dc.language.iso	en_US
dc.publisher	Georgia Institute of Technology	en
dc.relation.ispartofseries	GVU Technical Report;GIT-GVU-91-21
dc.subject	User interfaces	en
dc.subject	Human-computer interaction	en
dc.subject	Human-computer interaction monitoring	en
dc.title	A Knowledge-Based System for Capturing Human-Computer Interaction Events: CHIME	en
dc.type	Text
dc.type.genre	Technical Report
dspace.entity.type	Publication
local.contributor.corporatename	GVU Center
local.relation.ispartofseries	GVU Technical Report Series
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relation.isSeriesOfPublication	a13d1649-8f8b-4a59-9dec-d602fa26bc32