The subject of this thesis is the development of a new approach for the creation of a family of adaptive multimedia applications, focused on finding the right balance between the quality of the final product and the efficiency of the authoring effort. This project considers the development of a specific class of applications, that is interactive museum guides. The process of creating multimedia applications that can be used in different scenarios is a complex operation, that is usually tackled with two opposite approaches: “recycling” - without a real method - the application for contexts, devices or user for which it was not initially designed or, on the other hand, the design and implementation from scratch of every new version. Both methods proven to be ineffective, since they lead to a poor quality of the final product or to excessive development costs. Starting from a real case study, that is design and development of a family of adaptive guides for the archaeological museum of Milan, we defined a model, 1001guides, that supports adaptivity for this class of applications. It’s focused on authoring efficiency and it’s designed to minimize the additional effort needed for content adaptation. We consider adaptivity depending on two main variables, context of use and channel, that are integrated in a unique dimension, called User eXperience. The idea is to create the adapted versions starting from a neutral basis of contents, always valid and produced only once (core contents), that can be re- organized and enriched with additional multimedia fragments, designed to adapt the information to the various UXs. Starting from the 1001guide model, developed for the case of interactive guides, we tried then to generalize the concept, by extending it to a wider class of applications. The approach proposed can bring benefits both for final users and content authors. The formers will get multimedia products really tailored to their specific needs and to the scenarios in which they will use them. Authors instead, thanks to the future development of an authoring tool based on the proposed model, will be able to create the adapted versions of the same application in a shorter span of time and with much more limited costs.