Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Personalisation and user models for support in daily living
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science. (Arcum)
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Show others and affiliations
2012 (English)In: The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS), 14–15 May 2012 / [ed] Lars Karlsson, Julien Bidot, 2012, 7-16 p.Conference paper, Published paper (Refereed)
Abstract [en]

In recent years, the interest in developing personalised applications for home environment has grown since it has a wide reach in helping people in their daily activities. However, for our purposes the concept activities of daily living also need to include work and leisure activities not necessarily performed in home environments. In this article, we describe an ongoing effort to develop a generic framework for assessing ability and tailoring of support applications in the health domain. We also give an overview of the approaches that have been adopted for personalisation and user modelling to various application areas. Suggestions of future development are provided.

Place, publisher, year, edition, pages
2012. 7-16 p.
Keyword [en]
Personalisation, User modelling, User models, Clinical decision-support systems, Multi-agent systems, Ambient intelligence, Human computer interaction, Adaptive hypermedia system, E-learning, Adaptive education systems, Machine learning, Intelligent tutoring systems
National Category
Computer and Information Science
Research subject
Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-66560OAI: oai:DiVA.org:umu-66560DiVA: diva2:607449
Conference
The 27th annual workshop of the Swedish Artificial Intelligence Society (SAIS) 2012
Available from: 2013-02-23 Created: 2013-02-23 Last updated: 2016-09-07Bibliographically approved

Open Access in DiVA

fulltext(775 kB)485 downloads
File information
File name FULLTEXT01.pdfFile size 775 kBChecksum SHA-512
8182a15c1f27b2b1b61d363cd2293fb42ae56cd61bd1a797066532112d9026508a0b654e85bfd06154021a9c6ad3812e64801125d0b6cae0b9755593d671f703
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Baskar, JayalakshmiLindgren, HelenaSurie, DipakYan, ChunliYekeh, Farahnaz
By organisation
Department of Computing Science
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 485 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 236 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf