Abstract | ||
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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 systemat- ically up to now. The aim of this PhD thesis is to explore a methodology for the empirical evalu- ation 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. |
Year | DOI | Venue |
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2001 | 10.1007/3-540-44566-8_49 | User Modeling |
Keywords | Field | DocType |
experimental design,phd thesis,important evidence,behavioral factor,adaptive systems,existing adaptive system,adaptive system,adaptivity success,important reason,empirical evaluation | Adaptive system,Computer science,System evaluation,Systems design,Artificial intelligence,Behavioral analysis,Cognition,HTML,Design of experiments | Conference |
Volume | ISSN | ISBN |
2109 | 0302-9743 | 3-540-42325-7 |
Citations | PageRank | References |
38 | 3.21 | 51 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Stephan Weibelzahl | 1 | 527 | 54.00 |
Alexandros Paramythis | 2 | 178 | 12.71 |
Judith Masthoff | 3 | 984 | 77.21 |