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Tech Report kmi-02-01 Abstract


Conceptualising work activity for CAL systems design
Techreport ID: kmi-02-01
Date: 2002
Author(s): Daisy Mwanza
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As computing technology has increasingly become relevant to people ’s everyday lives, emphasis is being placed on ensuring Computer Assisted Learning (CAL) tools support users in ways that are meaningful to them. This requirement has highlighted the need to understand the complex and often dynamic social and cultural organisation of collaborating individuals in context. Here, the aim is to conceptualise the natural flow and evolution of work practices so as to inform the design of these systems. This paper reports on empirical findings of an investigation into the design requirements for a CAL system for supporting knowledge sharing activities in an organisation.

Keywords:

Information systems, collaboration, mediated, professional, case study.

Correspondence:

Daisy Mwanza, Knowledge Media Institute, The Open University, Walton Hall, Milton Keynes, MK7 6AA.
Email: D.Mwanza@open.ac.uk

Publication(s):

In the Journal of Computer Assisted Learning, March, 2002 (18), issue number 1, pages 84 - 92, Blackwell Science Ltd, UK.
 
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Multimedia and Information Systems
Our research is centred around the theme of Multimedia Information Retrieval, ie, Video Search Engines, Image Databases, Spoken Document Retrieval, Music Retrieval, Query Languages and Query Mediation.

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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