Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Towards implicit user modeling based on artificial intelligence, cognitive styles and web interaction data
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0002-5157-8131
University of Cyprus, Cyprus.
University of Cyprus, Cyprus; SAP AG, Germany.
University of Cyprus, Cyprus.
2014 (English)In: International journal on artificial intelligence tools, ISSN 0218-2130, Vol. 23, no 2Article in journal (Refereed) Published
Abstract [en]

A key challenge of adaptive interactive systems is to provide a positive user experience by extracting implicitly the users' unique characteristics through their interactions with the system, and dynamically adapting and personalizing the system's content presentation and functionality. Among the different dimensions of individual differences that could be considered, this work utilizes the cognitive styles of users as determinant factors for personalization. The overarching goal of this paper is to increase our understanding about the effect of cognitive styles of users on their navigation behavior and content representation preference. We propose a Web-based tool, utilizing Artificial Intelligence techniques, to implicitly capture and find any possible relations between the cognitive styles of users and their characteristics in navigation behavior and content representation preference by using their Web interaction data. The proposed tool has been evaluated with a user study revealing that cognitive styles of users have an effect on their navigation behavior and content representation preference. Research works like the reported one are useful for improving implicit and intelligent user modeling in engineering adaptive interactive systems.

Place, publisher, year, edition, pages
2014. Vol. 23, no 2
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:ri:diva-33189DOI: 10.1142/S0218213014400090Scopus ID: 2-s2.0-84898994315OAI: oai:DiVA.org:ri-33189DiVA, id: diva2:1177598
Available from: 2018-01-25 Created: 2018-01-25 Last updated: 2019-08-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Papatheocharous, Efi

Search in DiVA

By author/editor
Papatheocharous, Efi
By organisation
SICS
In the same journal
International journal on artificial intelligence tools
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 2 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
v. 2.35.7