Developing an Adaptive Digital Talking Book Player with FAME
AbstractThis article presents the development of an adaptive multimodal Digital Talking Book player using FAME. FAME is a conceptual framework for the development of adaptive multimodal applications. FAME's adaptation is based on context changes. The context is defined by three entities: User, Platform and Environment. The adaptation can impact multimodal operations, as well as interaction and presentation aspects. FAME introduces the notion of Behavioral Matrix. This is used to represent adaptation rules, store their activation count, and provide a mechanism for changing active rules in response to changes in the context. Usability and accessibility flaws have been identified in current Digital Talking Book players. The developed player proved the feasibility of FAME for developing adaptive multimodal applications, while also demonstrating that the introduction of multimodal input and outputs and of adaptive features helps overcome the limitations of current players.