This article presents FAME, a model-based Framework for Adaptive Multimodal Environments. FAME proposes an architecture for adaptive multimodal applications, a new way to represent adaptation rules - the behavioral matrix - and a set of guidelines to assist the design process of adaptive multimodal applications. To demonstrate FAME's validity, the development process of an adaptive Digital Talking Book player is summarized.

This paper reports the results of the automated accessibility evaluation of nearly three million web pages. The analysis of the evaluations allowed us to characterize the status of web accessibility. On average, we identified 30 errors per web page, and only a very small number of pages had no accessibility barriers identified. The more frequent problems found were inadequate text contrast and lack of accessible names. Additionally, we identified the technologies present in the websites evaluated, which allowed us to relate web technologies with the accessibility level, as measured by A3, an accessibility metric. Our findings show that most categories of web technologies impact the accessibility of web pages, but that even for those categories that show a negative impact, it is possible to select technologies that improve or do not impair the accessibility of the web content.

The development of TV applications nowadays excludes users with certain impairments from interacting with and accessing the same type of contents as other users do. Developers are also not interested in developing new or different versions of applications targeting different user characteristics. In this paper we describe a novel adaptive accessibility approach on how to develop accessible TV applications, without requiring too much additional effort from the developers. Integrating multimodal interaction, adaptation techniques and the use of simulators in the design process, we show how to adapt User Interfaces to the individual needs and limitations of elderly users. For this, we rely on the identification of the most relevant impairment configurations among users in practical user-trials, and we draw a relation with user specific characteristics. We provide guidelines for more accessible and centered TV application development.