An Overview of Projects in the ARIES Laboratory
Prof Gordon McCalla, mccalla@staff.cs.usyd.edu.au
Department of Computer Science, University of Saskatchewan,
Saskatoon, Canada
Wed 7 October, 1998: 11am (note: special time)
Abstract
In this talk a number of projects currently underway in the ARIES
Laboratory in the Department of Computer Science at the University of
Saskatchewan will be presented. The projects are diverse in goals and
scope. They are unified, however, by their commitment to building
application systems to be used in a real world with actual human end
users. Further, they share a concern with exploring three big
issues confronting such application systems: (i) how to allow such a
system to be individualized to the needs of the end user; (ii) how to
make such a system behave intelligently from the perspective of the end
user; and (iii) how to ensure such a system performs robustly in the
face of a noisy and unpredictable real world. The basic underlying
technologies being employed are drawn especially from artificial
intelligence and user modelling.
In the talk, and depending on time and audience interest, a selection of
research projects will be chosen to illustrate both the technologies
being
used (and developed) and to show how these technologies can help in
grappling with the key issues of individualization, intelligence, and
robustness. The projects will be chosen from among the following:
- the intelligent help desk project (IHelp) and its subprojects, aiming
to
provide a user access to a variety of on-line help resources that have
been tailored to suit his/her specific current help needs, with a
special
emphasis on peer help;
- other projects in the area of artificial intelligence and education
(AIEd), including a simulation "game" for students learning
about professional ethics, and a computer assisted language learning
immersion environment to help people practise using a second language to
achieve tasks they confront when travelling;
- intelligent information filtering projects, including an analogical
document retrieval system and a movie recommender system;
- a knowledge-based reverse software engineering tool, based on cliché
recognition, to help a software engineer capture design from code.
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