User intent to support proactivity in a pervasive system

Yussuf Abu-Shaaban, Sarah McBurney, Nick Taylor, Morgan Howard Williams, Nikos Kalatzis, Ioanna Roussaki

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

2 Citations (Scopus)

Abstract

In a pervasive system it is essential to understand the intent of the user in order to predict his/her future behaviour. This in turn will help to minimise the user's administrative overheads and assist the user to achieve his/her goals. The aim of this paper is to present some aspects of how user intent may be handled. It focuses on the architecture supporting the proactive features of the Persist pervasive platform. A formal definition of the task discovery problem in user intent is provided. The use of the discovered task model to predict the user's next intended task/action is introduced including the way in which user context can assist in the prediction of the user's intended task/action.

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
Pages3-8
Number of pages6
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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