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Intelligent user interface for multiple application systems

Published online by Cambridge University Press:  04 August 2010

M. A. Bramer
Affiliation:
University of Portsmouth
X. Zhang
Affiliation:
Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic
J. L. Nealon
Affiliation:
Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic
R. Lindsay
Affiliation:
Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic
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Summary

Abstract: Current intelligent user interfaces have two limitations: (i) They are domain specific and mainly built for existing database management systems, (ii) They are specific to the target systems for which they are constructed. However, user goals, which motivate interactions with a computer, are likely to be complicated and to require the use of multiple target systems in various domains. In this paper, we discuss the development of intelligent user interfaces which are not subject to the limitations identified. An architecture is proposed, the major function of which is the dynamic integration and intelligent use of multiple target systems relevant to a user's goals. Other important features of the proposed system include its theoretical orientation around relevance relationships, mental models and speech acts, and the introduction of “system experts” and “goal manager”. A prototype Intelligent Multifunctional User Interface, (IMUI), is briefly described which indicates that the proposed architecture is viable, the methodology is promising, and the theoretical ideas introduced are worthy of further investigation.

INTRODUCTION

Computer-based systems are coming to play an ever more important part in our society, and as they do so, they become increasingly complicated and difficult to use effectively. As a consequence, the need to develop flexible and versatile intelligent interfaces has become more crucial than ever.

What would an ideal interface look like, and how can such a system be designed and implemented? Most investigators would agree that it should behave like an intelligent human assistant who has expert knowledge both of user characteristics and requirements, and of target system(s).

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Publisher: Cambridge University Press
Print publication year: 1993

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  • Intelligent user interface for multiple application systems
    • By X. Zhang, Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic, J. L. Nealon, Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic, R. Lindsay, Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic
  • M. A. Bramer, University of Portsmouth, R. W. Milne
  • Book: Research and Development in Expert Systems IX
  • Online publication: 04 August 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511569944.020
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  • Intelligent user interface for multiple application systems
    • By X. Zhang, Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic, J. L. Nealon, Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic, R. Lindsay, Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic
  • M. A. Bramer, University of Portsmouth, R. W. Milne
  • Book: Research and Development in Expert Systems IX
  • Online publication: 04 August 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511569944.020
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Intelligent user interface for multiple application systems
    • By X. Zhang, Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic, J. L. Nealon, Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic, R. Lindsay, Knowledge Engineering Research Group School of Computing & Mathematical Sciences Oxford Polytechnic
  • M. A. Bramer, University of Portsmouth, R. W. Milne
  • Book: Research and Development in Expert Systems IX
  • Online publication: 04 August 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511569944.020
Available formats
×