User Intent to Support Proactivity in a Pervasive S ystem

Shaaban, Y; McBurney, S; Taylor, N; Williams, M; Kalatzis, N; Roussaki, I

dc.contributor.author	Shaaban, Y	en
dc.contributor.author	McBurney, S	en
dc.contributor.author	Taylor, N	en
dc.contributor.author	Williams, M	en
dc.contributor.author	Kalatzis, N	en
dc.contributor.author	Roussaki, I	en
dc.date.accessioned	2014-03-01T01:57:04Z
dc.date.available	2014-03-01T01:57:04Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28331
dc.relation.uri	http://www.aisb.org.uk/convention/aisb09/Proceedings/PERSIST/FILES/AbuShaabanY.pdf	en
dc.subject	Pervasive System	en
dc.subject	Task Model	en
dc.title	User Intent to Support Proactivity in a Pervasive S ystem	en
heal.type	journalArticle	en
heal.publicationDate	2008	en
heal.abstract	In a pervasive system it is essential to understa nd the intent of the user in order to predict his/her futu re behaviour. This in turn will help to minimise the user's admin istrative overheads and assist the user to achieve his/her go als. The aim of this paper is to present some aspects of how user i ntent may	en