Electronic International Standard Serial Number (EISSN)
Smart mobile devices have fostered new interaction scenarios for Ambient Intelligence that demand sophisticated interfaces. The main developers of operating systems for such devices have provided APIs for developers to implement their own applications, including different solutions for developing graphical interfaces, sensor control and voice interaction. Despite the usefulness of such resources, there are no strategies defined for coupling the multimodal interface with the possibilities that the devices offer to identify and adapt to the user needs. This way, current apps are usually developed ad-hoc and the spoken interface is conceived as an input for simple commands. In this paper we present a practical mobile application that integrates features of Android APIs on a modular architecture that emphasizes multimodal conversational interaction and context-awareness to foster user-adaptivity, robustness, and maintainability.
conversational interfaces; mobile devices; multimodal interaction; context-awareness; user adaptation; android