Tech Reports
Tech Report kmi-01-03 Abstract
Lyceum: Internet Voice Groupware for Distance Learning
Techreport ID: kmi-01-03
Date: 2001
Author(s): Simon Buckingham Shum, Samuel Marshall, John Brier and Tony Evans
This paper describes the design, implementation and deployment of Lyceum, a groupware system providing students and tutors with real time voice conferencing and visual workspace tools, over the standard internet. Lyceum uses a Java client/server architecture to tackle a formidable set of networking requirements: multi-way voice communication with synchronous shared displays, scalable to potentially thousands of simultaneous users, running over normal modem connections via unknown internet service providers, on home PCs. Additionally, the design had to support multiple courses with different requirements. We describe the interdisciplinary requirements analysis, and iterative design process, by which an academic course team was able to specify and evaluate prototypes. We present the system's architecture, describe the technical successes and failures from Lyceum's first large scale deployment, and summarise its affordances for interaction and learning.
Publication(s):
Proceedings of Euro-CSCL 2001: 1st European Conference on Computer-Supported Collaborative Learning, Maastricht, The Netherlands, March 22-24, 2001 [http://www.mmi.unimaas.nl/euro-cscl]
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Multimedia and Information Systems is...

We focus on content-based information retrieval over a wide range of data spanning form unstructured text and unlabelled images over spoken documents and music to videos. This encompasses the modelling of human perception of relevance and similarity, the learning from user actions and the up-to-date presentation of information. Currently we are building a research version of an integrated multimedia information retrieval system MIR to be used as a research prototype. We aim for a system that understands the user's information need and successfully links it to the appropriate information sources, be it a report or a TV news clip. This work is guided by the vision that an automated knowledge extraction system ultimately empowers people making efficient use of information sources without the burden of filing data into specialised databases.
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