A Framework to Develop Adaptive Multimodal Dialog Systems for Android-Based Mobile Devices View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2014

AUTHORS

David Griol , José Manuel Molina

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. More... »

PAGES

25-36

Book

TITLE

Hybrid Artificial Intelligence Systems

ISBN

978-3-319-07616-4
978-3-319-07617-1

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-07617-1_3

DOI

http://dx.doi.org/10.1007/978-3-319-07617-1_3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040916026


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