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Dynamic context-aware personalisation in a pervasive environment

Authors:

Sarah Gallacher,

Eliza Papadopoulou,

Yussuf Abu-Shaaban,

Nick K. Taylor,

M. Howard WilliamsAuthors Info & Claims

Pervasive and Mobile Computing, Volume 10

Pages 120 - 137

https://doi.org/10.1016/j.pmcj.2012.11.002

Published: 01 February 2014 Publication History

Abstract

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.

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Cited By

Luna VQuintero RTorres MMoreno-Ibarra MGuzmán GEscamilla I(2018)An ontology-based approach for representing the interaction process between user profile and its context for collaborative learning environmentsComputers in Human Behavior10.1016/j.chb.2014.10.00451:PB(1387-1394)Online publication date: 23-Dec-2018
https://dl.acm.org/doi/10.1016/j.chb.2014.10.004
Wibotzki MSandkuhl KSmirnov AKashevnik AShilov N(2017)Digital SignageandTargetedAdvertisementBased on Personal Preferences and Digital Business ModelsProceedings of the 21st Conference of Open Innovations Association FRUCT10.23919/FRUCT.2017.8250206(374-381)Online publication date: 13-Nov-2017
https://dl.acm.org/doi/10.23919/FRUCT.2017.8250206
de Alencar Tde Almeida Neris VBoscarioli CBim SLeitão CMaciel C(2014)Towards design guidelines for software applications that collect user data for UbicompProceedings of the 13th Brazilian Symposium on Human Factors in Computing Systems10.5555/2738055.2738095(246-254)Online publication date: 27-Oct-2014
https://dl.acm.org/doi/10.5555/2738055.2738095

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Information

Published In

cover image Pervasive and Mobile Computing

Pervasive and Mobile Computing Volume 10, Issue

February, 2014

220 pages

ISSN:1574-1192

Issue’s Table of Contents

Copyright © Elsevier B.V. © 2012.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 February 2014

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Cited By

Luna VQuintero RTorres MMoreno-Ibarra MGuzmán GEscamilla I(2018)An ontology-based approach for representing the interaction process between user profile and its context for collaborative learning environmentsComputers in Human Behavior10.1016/j.chb.2014.10.00451:PB(1387-1394)Online publication date: 23-Dec-2018
https://dl.acm.org/doi/10.1016/j.chb.2014.10.004
Wibotzki MSandkuhl KSmirnov AKashevnik AShilov N(2017)Digital SignageandTargetedAdvertisementBased on Personal Preferences and Digital Business ModelsProceedings of the 21st Conference of Open Innovations Association FRUCT10.23919/FRUCT.2017.8250206(374-381)Online publication date: 13-Nov-2017
https://dl.acm.org/doi/10.23919/FRUCT.2017.8250206
de Alencar Tde Almeida Neris VBoscarioli CBim SLeitão CMaciel C(2014)Towards design guidelines for software applications that collect user data for UbicompProceedings of the 13th Brazilian Symposium on Human Factors in Computing Systems10.5555/2738055.2738095(246-254)Online publication date: 27-Oct-2014
https://dl.acm.org/doi/10.5555/2738055.2738095

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