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User, Context and Device Modeling for Adaptive User Interface Systems

  • Eduardo Castillejo
  • Aitor Almeida
  • Diego López-de-Ipiña
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8276)

Abstract

Personalization and self-customizable environments tend to increase user satisfaction. There are many approaches to face the problem of designing adaptive user interface systems. However, most of the reviewed solutions are very domain dependent. We identify users, context and devices as the most significant entities in adaptive user interface domains. This paper digs into several drawback related to these environments, remarking the incongruity and aggregation of context, and the entities interaction within adaptive user interfaces domains.

Keywords

adaptive user interfaces context-aware systems user- adaptability 

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References

  1. 1.
    Almeida, A., López-de Ipiña, D., Aguilera, U., Larizgoitia, I., Laiseca, X., Orduña, P., Barbier, A.: An approach to dynamic knowledge extension and semantic reasoning in highly-mutable environments. In: 3rd Symposium of Ubiquitous Computing and Ambient Intelligence 2008, pp. 265–273. Springer (2008)Google Scholar
  2. 2.
    Almeida, A., López-de Ipiña, D.: Assessing ambiguity of context data in intelligent environments: Towards a more reliable context managing system. Sensors 12(4), 4934–4951 (2012), http://www.mdpi.com/1424-8220/12/4/4934CrossRefGoogle Scholar
  3. 3.
    Babisch, W.: The noise/stress concept, risk assessment and research needs. Noise and Health 4(16), 1 (2002)Google Scholar
  4. 4.
    Calvary, G., Coutaz, J., Thevenin, D., Limbourg, Q., Souchon, N., Bouillon, L., Florins, M., Vanderdonckt, J.: et al.: Plasticity of user interfaces: A revisited reference framework. In: In Task Models and Diagrams for User Interface Design (2002)Google Scholar
  5. 5.
    Casas, R., Blasco Marín, R., Robinet, A., Delgado, A., Yarza, A., Mcginn, J., Picking, R., Grout, V.: User modelling in ambient intelligence for elderly and disabled people. In: Computers Helping People with Special Needs, pp. 114–122 (2008)Google Scholar
  6. 6.
    Chen, G., Kotz, D.: A survey of context-aware mobile computing research. Tech. rep., Technical Report TR2000-381, Dept. of Computer Science, Dartmouth College (2000)Google Scholar
  7. 7.
    Dey, A.K.: Understanding and using context. Personal and Ubiquitous Computing 5(1), 4–7 (2001)CrossRefGoogle Scholar
  8. 8.
    European Commission: Ageing report: Europe needs to prepare for growing older (2012), http://ec.europa.eu/economy_finance/articles/structural_reforms/2012-05-15_ageing_report_en.htm
  9. 9.
    Evers, C., Kniewel, R., Geihs, K., Schmidt, L.: Achieving user participation for adaptive applications. In: Bravo, J., López-de-Ipiña, D., Moya, F. (eds.) UCAmI 2012. LNCS, vol. 7656, pp. 200–207. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  10. 10.
    Fink, J., Kobsa, A.: A review and analysis of commercial user modeling servers for personalization on the world wide web. User Modeling and User-Adapted Interaction 10(2-3), 209–249 (2000)CrossRefGoogle Scholar
  11. 11.
    Fischer, G.: User modeling in human–computer interaction. User Modeling and User-Adapted Interaction 11(1), 65–86 (2001)CrossRefGoogle Scholar
  12. 12.
    Gregor, P., Newell, A.F., Zajicek, M.: Designing for dynamic diversity: interfaces for older people. In: Proceedings of the Fifth International ACM Conference on Assistive Technologies, pp. 151–156 (2002)Google Scholar
  13. 13.
    Gu, T., Wang, X.H., Pung, H.K., Zhang, D.Q.: An ontology-based context model in intelligent environments. In: Proceedings of Communication Networks and Distributed Systems Modeling and Simulation Conference, vol. 2004, pp. 270–275 (2004)Google Scholar
  14. 14.
    Heckmann, D., Schwarzkopf, E., Mori, J., Dengler, D., Kröner, A.: The user model and context ontology GUMO revisited for future web 2.0 extensions. In: Contexts and Ontologies: Representation and Reasoning, pp. 37–46 (2007)Google Scholar
  15. 15.
    Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. In: Mattern, F., Naghshineh, M. (eds.) PERVASIVE 2002. LNCS, vol. 2414, pp. 167–180. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  16. 16.
    Hong, J.Y., Suh, E.H., Kim, S.J.: Context-aware systems: A literature review and classification. Expert Systems with Applications 36(4), 8509–8522 (2009)CrossRefGoogle Scholar
  17. 17.
    Jameson, A.: Modelling both the context and the user. Personal and Ubiquitous Computing 5(1), 29–33 (2001)CrossRefGoogle Scholar
  18. 18.
    Jameson, A.: Systems that adapt to their users. Decision Making 2, 23 (2011)Google Scholar
  19. 19.
    Kobsa, A.: Generic user modeling systems. User Modeling and User-Adapted Interaction 11(1-2), 49–63 (2001)CrossRefGoogle Scholar
  20. 20.
    Kobsa, P.D.A.: User modeling and user-adapted interaction. User Modeling and User-Adapted Interaction 15(1), 185–190 (2005)MathSciNetCrossRefGoogle Scholar
  21. 21.
    Nilsson, E.G., Floch, J., Hallsteinsen, S., Stav, E.: Model-based user interface adaptation. Computers & Graphics 30(5), 692–701 (2006)CrossRefGoogle Scholar
  22. 22.
    Persad, U., Langdon, P., Clarkson, J.: Characterising user capabilities to support inclusive design evaluation. Universal Access in the Information Society 6(2), 119–135 (2007)CrossRefGoogle Scholar
  23. 23.
    Schmidt, A., Beigl, M., Gellersen, H.W.: There is more to context than location. Computers & Graphics 23(6), 893–901 (1999)CrossRefGoogle Scholar
  24. 24.
    Strang, T., Linnhoff-Popien, C.: A context modeling survey. In: Workshop Proceedings (2004)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Eduardo Castillejo
    • 1
  • Aitor Almeida
    • 1
  • Diego López-de-Ipiña
    • 1
  1. 1.Deusto Institute of Technology, DeustoTechUniversity of DeustoBilbaoSpain

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