Abstract
A natural way to interact with persons in Ambient Asssited Living (AAL) scenarios is through speech. Speech recognition techniques usually require of training for achieving good results. However, this training is not possible when different people can enter and leave. In these scenarios, the system should get information from the context, such as the state of the environment or previous dialogues, to support the speech recognition process. This is made in this work with Talking Agents. These are autonomous entities, with the ability to interact with each other and with other agents in the environment, and with the responsibility of interacting with persons through speech. They have a modular architecture to facilitate the application of different mechanisms and strategies, depending on the concrete AAL scenario.
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Fernández de Alba, J.M., Pavón, J. (2010). Talking Agents in Ambient-Assisted Living. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15384-6_35
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DOI: https://doi.org/10.1007/978-3-642-15384-6_35
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