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In: Browne, D., Totterdell, P., Norman, M. Browne, D., Norman, M., Riches, D.: Why build adaptive systems.Brown, E.J., Brailsford, T.J., Fisher, T., Moore, A.: Evaluating learning style personalization in adaptive systems: quantitative methods and approaches.Boyle, C., Encarnacion, A.O.: MetaDoc: an adaptive hypertext reading system.Bontcheva, K., Wilks, Y.: Tailoring automatically generated hypertext.In: 7th International Conference on User Modeling, Banff, Canada, pp. Billsus, D., Pazzani, M.: A hybrid user model for news story classification.Beyer, H., Holtzblatt, K.: Contextual Design: Defining Customer-Centred Systems.Berkovsky, S., Kuflik, T., Ricci, F.: Mediation of usermodels for enhanced personalization in recommender systems.Batliner, A., Steidl, S., Hacker, C., Nöth, E.: Private emotions versus social interaction: a data-driven approach towards analysing emotion in speech.In: 2nd International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, Malaga, Spain. Arruabarrena, R., Pérez, T., López-Cu adrado, J., Gutiérrez, J., Vadillo, J.: On evaluating adaptive systems for education.In: 9th International Joint Conference on Artificial Intelligence, Los Angeles, CA, pp. Anderson, J.R., Boyle, C.F., Yost, G.: The geometry tutor.(Eds.): Statistical and probabilistic methods for user modeling. In: 1st ACM Conference on Electronic Commerce, pp. Ackerman, M.S., Cranor, L.F., Reagle, J.: Privacy in e-commerce: examining user scenarios and privacy preferences.The paper also discusses practical issues surrounding the employment of the above, and provides a brief overview of complementary and alternative approaches in the literature. The presented methods are related to the layers in the framework and the stages in the development lifecycle of interactive systems.

The proposed framework unifies previous approaches in the literature and has already been used, in various guises, in recent research work. This paper presents a framework that can be used to guide the "layered" evaluation of adaptive systems, and a set of formative methods that have been tailored or specially developed for the evaluation of adaptivity. Separating the evaluation of different aspects can help to identify problems in the adaptation process. Some promising approaches in the recent past have attempted tackling the problem of evaluating adaptivity by "decomposing" and evaluating it in a "piece-wise" manner. The evaluation of interactive adaptive systems has long been acknowledged to be a complicated and demanding endeavour.