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Tech Report kmi-96-03 Abstract


Multidisciplinary Modelling for User-Centred System Design: An Air-Traffic Control Case Study
Techreport ID: kmi-96-03
Date: 1996
Author(s): Simon Buckingham Shum, Ann Blandford, David Duke, Jason Good, Jon May, Fabio Paterno' and Richard Young

This paper reports work investigating how user and system modelling techniques can be integrated to support the design of advanced interactive systems, and how such modelling can be effectively communicated to design practitioners in order to evaluate their potential. We describe a large scale modelling exercise concerning a flight sequencing tool for air-traffic controllers. We outline the kinds of system and user analysis possible with the different modelling techniques, and the approach used to integrate and communicate the modelling analyses to the system's designers. We then discuss the value of these techniques against several key criteria. The designers evaluated the modelling positively in many respects, including a commitment to explore further how user modelling can be integrated with their formal methods. We conclude that the scenario of HCI modellers working in collaboration with designers is feasible, and has analytic power. 1. Knowledge Media Institute, The Open University, Milton Keynes, MK7 6AA, UK. 2. School of Computing Science, Middlesex University, Bounds Green Road, London, N11 2NQ, UK. 3. Dept. Computer Science, University of York, York, YO1 5DD, UK. 4. Dept. Psychology, University of Sheffield, Western Bank, Sheffield, S10 2TP, UK. 5. CNUCE-CNR, Via S.Maria 36, 56126 Pisa, Italy. 6. MRC Applied Psychology Unit, 15 Chaucer Road, Cambridge, CB2 2EF, UK.

Publication(s):

To appear in: Proceedings of Human-Computer Interaction'96, Annual HCI Conference of the British Computer Society, London, 20-23 August, 1996 (Springer-Verlag, London)
 
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Multimedia and Information Systems is...


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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