Improving the Mobile Phone Habitat - Learning Changes in Users Profiles

dc.contributor.authorBridle, Robert
dc.contributor.authorMcCreath, Eric
dc.coverage.spatialSydney Australia
dc.date.accessioned2015-12-13T23:00:39Z
dc.date.available2015-12-13T23:00:39Z
dc.date.createdDecember 5 2005
dc.date.issued2005
dc.date.updated2015-12-12T07:35:15Z
dc.description.abstractMobile phones are becoming a popular platform for a range of applications. However, due to size restrictions, the interfaces of these applications can be difficult to use. Customising an interface for a particular user offers the potential to improve an interface's efficiency. In this paper, we propose customising a mobile phone's Profile application. We apply a machine learning approach to discover concepts that describe a user's profile-activations in terms of their scheduled appointments. We found that it is possible to learn useful concepts, which maybe used to improve the users interaction with mobile phone devices.
dc.identifier.isbn3540304623
dc.identifier.urihttp://hdl.handle.net/1885/84218
dc.publisherSpringer
dc.relation.ispartofseriesAustralian Joint Conference on Artificial Intelligence (AI 2005)
dc.sourceAI 2005: Advances in Artificial Intelligence. 18th Australian Joint Conference on Artificial Intelligence, Proceedings
dc.subjectKeywords: Customization; Mobile phones; Profile activation; Electronic equipment; Knowledge based systems; Learning systems; User interfaces; Mobile telecommunication systems
dc.titleImproving the Mobile Phone Habitat - Learning Changes in Users Profiles
dc.typeConference paper
local.bibliographicCitation.lastpage974
local.bibliographicCitation.startpage970
local.contributor.affiliationBridle, Robert, College of Engineering and Computer Science, ANU
local.contributor.affiliationMcCreath, Eric, College of Engineering and Computer Science, ANU
local.contributor.authoruidBridle, Robert, u2525222
local.contributor.authoruidMcCreath, Eric, u4033585
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080799 - Library and Information Studies not elsewhere classified
local.identifier.ariespublicationMigratedxPub12480
local.identifier.doi10.1007/11589990_122
local.identifier.scopusID2-s2.0-33745604669
local.type.statusPublished Version

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