Skip to main content

VUMA: A Visual User Modelling Approach for the Personalisation of Adaptive Systems

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5149))

Abstract

Current approaches to explicit user modelling are generally time consuming and tedious for the user. Oftentimes poor usability and overly long questionnaires deter the end user from reusing such modelling tools, thus only facilitating explicit personalisation once as they enter the system. This paper proposes a visual approach to user modelling resulting in the VUMA (Visual User Modelling Approach) tool that can be used in a playful and dynamic manner repeatedly during a user’s engagement with a personalisation system. This work proposes and evaluates a visually empowering, usable, highly configurable and playful user modelling interface that is utilised to elicit user interests and preferences in a chosen knowledge domain.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ardissono, L., Goy, A., Petrone, G., Segnan, M., Torasso, P.: INTRIGUE: Personalized Recommendations of tourist attractions for desktop and handset Devices. In Applied Artificial Intelligence: Special Issue on Artificial Intelligence for Cultural Heritage and Digital Libraries 17(8-9), 687–714 (2003)

    Google Scholar 

  2. Carmichael, D.J., Kay, J., Kummerfeld, R.J.: Personal Ontologies for feature selection in Intelligent Environment visualisations. In: Baus, J., Kray, C., Porzel, R. (eds.) AIMS 2004 - Artificial Intelligence in Mobile System, pp. 44–51 (2004)

    Google Scholar 

  3. Conlan, O., Wade, V.: Evaluation of APeLSAn Adaptive eLearning Service Based on the Multi-Model, Metadata-Driven Approach. In: De Bra, P.M.E., Nejdl, W. (eds.) AH 2004. LNCS, vol. 3137, pp. 291–295. Springer, Heidelberg (2004)

    Google Scholar 

  4. Espinoza, F., Hook, K.: An Interactive interface to an Adaptive Information System. In: Proceedings of the User Modelling for Information on the World Wide Web, a mini-workshop at the Fifth International Conference on User Modelling (1995)

    Google Scholar 

  5. Fink, J., Kobsa, A., Nill, A.: User-Oriented Adaptivity and Adaptability in the AVANTI project. In: Designing for the Web: Empirical Studies, Microsoft Usability Group, Redmond (WA) (1996)

    Google Scholar 

  6. Kass, R., Stadnyk, I.: Using User Models to Improve Organizational Information. In: Proceedings of the 3rd International Workshop on User Modeling, Dagstuhl, Germany (1992)

    Google Scholar 

  7. Kobsa, A.: User modeling: Recent Work, Prospects and Hazards. In: Schneider-Hufschmidt, M., Kühme, T., Malinowski, U. (eds.) Adaptive User Interfaces: Principles and Practice, pp. 111–128. North-Holland, Amsterdam (1993)

    Google Scholar 

  8. Uther, J., Kay, J.: VIUM, a web-based visualisation of large user models. In: Brusilovsky, P., et al. (eds.) UM 2003. LNCS, vol. 2702, pp. 198–202. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Wolfgang Nejdl Judy Kay Pearl Pu Eelco Herder

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Späth, M.B., Conlan, O. (2008). VUMA: A Visual User Modelling Approach for the Personalisation of Adaptive Systems. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2008. Lecture Notes in Computer Science, vol 5149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70987-9_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-70987-9_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70984-8

  • Online ISBN: 978-3-540-70987-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics