Social agents for learning in virtual environments
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Publication date
2016
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taverne
Abstract
Several serious games have been proposed to practice communication strategies in formal contexts. Intelligent virtual agents (IVA) can be used to show the player the effects of a conversational move. In this paper we discuss the key role of using social context for the virtual agents in these serious games. Social practices are exploited to bundle social interactions into standard packages and as a basis to model the deliberation processes of IVAs. We describe a social practice oriented IVA architecture used in the implementation of a serious game for the practicing of communication in medical interviews.
Keywords
Conversational agents, IVAs, Serious games, Social practice, Taverne, Theoretical Computer Science, General Computer Science
Citation
Augello, A, Gentile, M & Dignum, F 2016, Social agents for learning in virtual environments. in Games and Learning Alliance - 5th International Conference, GALA 2016, Proceedings. vol. 10056 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10056 LNCS, Springer, pp. 133-143, 5th International Conference on Games and Learning Alliance, GALA 2016, Utrecht, Netherlands, 5/12/16. https://doi.org/10.1007/978-3-319-50182-6_12, conference