Giving the user explicit control over implicit personalisation

Sarah McBurney, Nick Taylor, Howard Williams, Elizabeth Papadopoulou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Personalisation has an important role to play in a pervasive environment, supporting resource management tasks and tailoring the system to behave in ways that suit the user. However, this depends on creating and maintaining an adequate set of information on the user's preferences. Experience has shown that one cannot simply rely on the user to input preferences, and it is essential to employ some form of machine learning to support this; on the other hand the user needs to be able to control this. Two major approaches used for this purpose are rulebased strategies and artificial neural networks (ANNs). Within the Persist pervasive system these two different approaches are being combined to give maximum benefit. However, in order to enable the user to maintain control over the resulting set of user preferences, it is essential that he/she can see the current state of this preference set and change it whenever this is required. This paper describes how this will be achieved.

Original languageEnglish
Title of host publicationAdaptive and Emergent Behaviour and Complex Systems
Subtitle of host publicationProceedings of the 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour
PublisherSociety for the Study of Artificial Intelligence and the Simulation of Behaviour
Pages16-19
Number of pages4
ISBN (Print)1902956850, 9781902956855
Publication statusPublished - 2009
Event23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour 2009 - Edinburgh, United Kingdom
Duration: 6 Apr 20099 Apr 2009

Conference

Conference23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour 2009
Abbreviated titleAISB 2009
CountryUnited Kingdom
CityEdinburgh
Period6/04/099/04/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Modelling and Simulation

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