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Issue title: Human-centred Ambient Intelligence: Cognitive Approaches, Reasoning and Learning
Guest editors: Zoe Falomir, Juan A. Ortega, Natividad Martínez and Hans Guesguen
Article type: Research Article
Authors: Griol, David; * | Molina, José Manuel | Sanchis, Araceli
Affiliations: Department of Computer Science, Carlos III University of Madrid, Avda. de la Universidad, 30, 28911, Leganés, Spain. E-mails: [email protected], [email protected], [email protected]
Correspondence: [*] Corresponding author. E-mail: [email protected].
Abstract: 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.
Keywords: Conversational interfaces, mobile devices, multimodal interaction, context-awareness, user adaptation, Android
DOI: 10.3233/AIS-170451
Journal: Journal of Ambient Intelligence and Smart Environments, vol. 9, no. 5, pp. 561-577, 2017
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