Traditionally, Embodied Conversational Agents communicate with humans using dialogue systems based on conversation trees. To enhance the flexibility and variability of dialogues, this paper proposes an approach to integrate conversation trees with cognitive models. The approach is illustrated by a case study in the domain of aggression de-escalation training, and a preliminary evaluation in the context of a practical application is presented.
|Title of host publication||PRIMA 2015: Principles and Practice of Multi-Agent Systems|
|Subtitle of host publication||18th International Conference Bertinoro, Italy, October 26 – 30, 2015 Proceedings|
|Editors||Q. Chen, P. Torroni, S. Villata, J. Hsu, A. Omicini|
|Number of pages||10|
|Publication status||Published - 2015|
|Name||Lecture Notes in Computer Science|
|Name||Lecture Notes in Artificial Intelligence|