On conversational agents with mental states
conference paper
Embodied conversational agents (ECAs) have been put forward as a promising means for the training of social skills. The traditional approach to drive the behaviour of ECAs during human-agent dialogues is to use conversation trees. Although this approach is easy to use and very transparent, an important limitation of conversation trees is that the resulting behaviour of the ECAs is often perceived as predictable. To provide ECAs with more sophisticated behaviour, the current paper proposes an approach to endow them with mental states. The approach is illustrated by a motivational example in the domain of aggression de-escalation training. © Springer International Publishing Switzerland 2015.
Topics
TNO Identifier
572431
ISSN
03029743
ISBN
9783319219950
Publisher
Springer Verlag
Source title
15th International Conference on Intelligent Virtual Agents, IVA 2015, 26 August 2015 through 28 August 2015
Editor(s)
Brinkman, W.P.
Broekens, J.
Heylen, D.
Broekens, J.
Heylen, D.
Pages
60-64
Files
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