Publication: A framework to develop adaptive multimodal dialog systems for Android-based mobile devices
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2014-06-11
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Springer
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Abstract
Mobile devices programming has emerged as a new trend in software development. The main developers of operating systems for such devices have provided APIs for developers to implement their own applications, including different solutions for developing voice control. Android, the most popular alternative among developers, offers libraries to build interfaces including different resources for graphical layouts as well as speech recognition and text-to-speech synthesis. Despite the usefulness of such classes, there are no strategies defined for multimodal interface development for Android systems, and developers create ad-hoc solutions that make apps costly to implement and difficult to compare and maintain. In this paper we propose a framework to facilitate the software engineering life cycle for multimodal interfaces in Android. Our proposal integrates the facilities of the Android API in a modular architecture that emphasizes interaction management and context-awareness to build sophisticated, robust and maintainable applications.
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Proceedings of: 9th International Conference (HAIS 2014), Salamanca, Spain, June 11-13, 2014
Keywords
Dialog systems, Multimodal interaction, Android, Mobile devices, User adaptation, Statistical methodologies
Bibliographic citation
Polycarpou, Maios, et al (eds.) (2014). Hybrid Artificial Intelligence Systems: 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014: proceedings. (Lecture Notes in Computer Science, 8480). Springer, pp. 25-36