Persuasive dialogue based on a narrative theory: An ECA implementation

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Abstract

Embodied Conversational Agents (ECA) are poised to constitute a specific category within persuasive systems, in particular through their ability to support affective dialogue. One possible approach consists in using ECA as virtual coaches or personal assistants and to make persuasion part of a dialogue game implementing specific argumentation or negotiation features. In this paper, we explore an alternative framework, which emerges from the long-term development of ECA as "Companions" supporting free conversation with the user, rather than task-oriented dialogue. Our system aims at influencing user attitudes as part of free conversation, albeit on a limited set of topics. We describe the implementation of a Companion ECA to which the user reports on his working day, and which can assess the user's emotional attitude towards daily events in the office, trying to influence such attitude using affective strategies derived from a narrative model. This discussion is illustrated through examples from a first fully-implemented prototype. © 2010 Springer-Verlag.

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APA

Cavazza, M., Smith, C., Charlton, D., Crook, N., Boye, J., Pulman, S., … Turunen, M. (2010). Persuasive dialogue based on a narrative theory: An ECA implementation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6137 LNCS, pp. 250–261). https://doi.org/10.1007/978-3-642-13226-1_25

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