Weibelzahl, S. (2001). Evaluation of adaptive systems. In M. Bauer, P. J. Gmytrasiewicz, & J. Vassileva (Eds.), User Modeling 2001: Proceedings of the Eighth International Conference, UM2001, Lecture Notes in Artificial Intelligence LNAI 2109 (© Springer-Verlag) (pp. 292-294). Berlin: Springer.

DOI: 10.1007/3-540-44566-8_49

Unambiguously, adaptive systems have to be evaluated empirically to guarantee that the adaptivity really works. Nevertheless, only few of the existing adaptive systems have been evaluated. One of the most important reasons for this lack is, that measures for adaptivity success have not been investigated systematically up to now.

The aim of this PhD thesis is to explore a methodology for the empirical evaluation of adaptive systems, including validated criteria, experimental designs and procedures. It will be demonstrated that cognitive and behavioral factors provide important evidence for adaptivity success.

@InProceedings{Weibelzahl-UM01dc,
author = {Stephan Weibelzahl},
title = {Evaluation of adaptive systems},
booktitle = {User {M}odeling. {P}roceedings of the {E}ighth {I}nternational {C}onference, {UM2001}},
year = {2001},
editor = {Matthias Bauer and Piotr J. Gmytrasiewicz and Julita Vassileva},
publisher = {Springer},
address = {Berlin},
pages = {292--294},
doi = {10.1007/3-540-44566-8\_49}
}