Title :
Expressing Adaptation Strategies Using Adaptation Patterns
Author :
Zemirline, Nadjet ; Bourda, Yolaine ; Reynaud, Chantal
Author_Institution :
Comput. Sci. Dept., Supelec, Gif-sur-Yvette, France
Abstract :
Today, there is a real challenge to enable personalized access to information. Several systems have been proposed to address this challenge including Adaptive Hypermedia Systems (AHSs). However, the specification of adaptation strategies remains a difficult task for creators of such systems. In this paper, we consider the problem of the definition of adaptation strategies at a high level. We present two main contributions: a typology of elementary adaptation patterns for the adaptive navigation; and a process to generate adaptation strategies based on the use and the semiautomatic combination of patterns. We also describe how the generated adaptation strategies can be integrated into existing AHSs. A prototype has been implemented and an experiment in the e-learning domain has been conducted with a group of volunteers. This experiment shows that our pattern-based approach for defining adaptation strategies is more suitable than those based on “traditional” AH languages.
Keywords :
hypermedia; adaptation pattern; adaptation strategy; adaptive hypermedia system; adaptive navigation; e-learning domain; pattern-based approach; Adaptation model; Adaptive systems; Cognition; Engines; Navigation; Unified modeling language; Visualization; AHSs; Adaptation model; Adaptive systems; Cognition; Engines; Navigation; Unified modeling language; Visualization; adaptation pattern; adaptation strategies; adaptation strategy; adaptive hypermedia system; adaptive navigation; e-learning domain; hypermedia; pattern-based approach; patterns.;
Journal_Title :
Learning Technologies, IEEE Transactions on
DOI :
10.1109/TLT.2011.15