Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/25028
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorCONINX, Karin-
dc.contributor.authorDE BOECK, Joan-
dc.date.accessioned2017-10-17T09:17:49Z-
dc.date.available2017-10-17T09:17:49Z-
dc.date.issued2006-
dc.identifier.urihttp://hdl.handle.net/1942/25028-
dc.description.abstractOver the last years, personal portable computer systems such as PDAs or laptops are being used in different contexts: at the office, during a meeting or at home. Switching between those contexts often requires the user to manually change differnt system settings, such as the audio volume, screen resolution, etc. In this work, we propose a first step towards a proactive user interface, predicting the next probable system changes, based upon previously learned sample. In particular, we will focus on two algorithms, decision trees ad Markov models, that may support this proactive interaction. By elaborating on some practical scenarios, we compare both implementations by evaluating their respective outcomes.-
dc.language.isoen-
dc.titleContext Acquisition and Aggregation Supports the Realisation of Proactive Interaction: A Comparison between Decision Trees and Markov Models-
dc.typeTheses and Dissertations-
local.format.pages32-
local.bibliographicCitation.jcatT1-
local.type.specifiedPhd thesis-
item.accessRightsOpen Access-
item.fullcitationDE BOECK, Joan (2006) Context Acquisition and Aggregation Supports the Realisation of Proactive Interaction: A Comparison between Decision Trees and Markov Models.-
item.fulltextWith Fulltext-
Appears in Collections:PhD theses
Research publications
Files in This Item:
File Description SizeFormat 
DeBoeckJ_1.pdf7.47 MBAdobe PDFView/Open
Show simple item record

Page view(s)

20
checked on Jun 28, 2022

Download(s)

4
checked on Jun 28, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.