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Quality of Adaptation: User Cognitive Models in Adaptation Quality Assessment

  • Víctor López-JaqueroEmail author
  • Francisco Montero
  • Pascual González
Conference paper

Abstract

Adaptation capabilities are becoming more and more popular in applications due to several facts, including heterogeneity of users, devices, and physical contexts of use where applications are currently used. Adaptation is not per se good, and poor adaptations usually lead to disappointed users who reject or disable adaptation mechanisms. Therefore, for adaptation to reach the mainstream mechanisms guaranteeing the quality of adaptation (QoA) is required. In this paper one of those mechanisms is proposed, which is based on results coming from cognitive models developed in the literature as a means to asses quality of adaptation.

Keywords

Cognitive Load Collateral Effect Migration Cost Screen Space Adapt User Interface 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work is partly supported by the PAI06-0093-8836 grant from the Junta de Comunidades de Castilla-La Mancha, Spain.

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Copyright information

© Springer-Verlag London Limited 2009

Authors and Affiliations

  • Víctor López-Jaquero
    • 1
    Email author
  • Francisco Montero
    • 1
  • Pascual González
    • 1
  1. 1.Laboratory on User Interaction & Software Engineering (LoUISE), Instituto de Investigación en Informática (I3A)University of Castilla-La ManchaAlbaceteSpain

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