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Article #4Seminar: Knowledge Engineering and Hypermedia Usability
From: SpIke
Date: Tue, 29 Aug 1989 20:45
Date: Tue, 29 Aug 1989 20:45
32 lines
2185 bytes
2185 bytes
KNOWLEDGE ENGINEERING AND HYPERMEDIA USABILITY
Mark Chignell
Department of Industrial and Systems Engineering
University of Southern California
Monday, 11 September 89
3:00 p.m.
Room 3202, Sanford Fleming Building
10 King's College Road
University of Toronto
Hypermedia uses associative structuring of nodes and links to represent and
provide access to large amounts of information stored in heterogeneous
media. Applications of hypermedia range from decision support and
computer-based training to cooperative authoring of text and intelligent
databases. The issue of hypermedia usability will be discussed from a human
factors perspective and recent empirical findings will be reviewed. The
relationship between information retrieval and hypermedia browsing will be
clarified and 10 dimensions of hypermedia usability will be identified. The
role of knowledge engineering methods in enhancing hypermedia usability will
then be discussed. A distinction will be made between enhancing usability
through better authoring (creating better structure) and enhancing usability
through browse tools (allowing the user to visualize the structure).
Traditional models of manual authoring of links to increase usability will
be contrasted with inferential link construction using syntactic and
semantic heuristics. It is proposed that network analysis techniques may
provide predictive measures of hypeanalyses of performance and syntactic and
semantic knowledge in developing usable hypermedia structures and browse
tools.
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Path: arc1-ca.pugleaf.net!utzoo!attcan!utgpu!jarvis.csri.toronto.edu!me!ecf!drascic From: drascic@ecf.utoronto.ca (SpIke) Newsgroups: tor.news,ont.events Subject: Seminar: Knowledge Engineering and Hypermedia Usability Message-ID: <1989Aug29.204530.21025@ecf.utoronto.ca> Date: 29 Aug 89 20:45:30 GMT Reply-To: drascic@mv03.ecf.UUCP (SpIke) Distribution: ont Organization: Engineering Computing Facility, University of Toronto Lines: 32