Dynamic context-aware personalisation in a pervasive environment

Sarah Gallacher*, Elizabeth Papadopoulou, Yussuf Abu-Shaaban, Nicholas Kenelm Taylor, M. Howard Williams

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)
121 Downloads (Pure)


In the development of ubiquitous and pervasive systems, it is understood that mechanisms are required to take adequate account of user preferences. This paper presents several key challenges for personalisation in pervasive environments and introduces the Daidalos solution developed as part of a European research project, Daidalos. The Daidalos personalisation system architecture goes beyond customary simplistic preference management to provide two aspects of dynamicity: first in the establishment of user preferences, where learning mechanisms are used to refine and update preferences when the need arises; second during the application of preferences whenever the context of the user changes. The paper discusses how this system meets the outlined challenges and details how the system has been evaluated.

Original languageEnglish
Pages (from-to)120-137
Number of pages18
JournalPervasive and Mobile Computing
Issue numberPART B
Early online date23 Dec 2012
Publication statusPublished - Feb 2014


  • Context
  • Learning
  • Personalisation
  • Preferences


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