Integrating conversation trees and cognitive models within an ECA for aggression de-escalation training
conference paper
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. © Springer International Publishing Switzerland 2015.
Topics
TNO Identifier
954666
ISSN
03029743
ISBN
9783319255
Publisher
Springer Verlag
Source title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 18th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2015, 26 October 2015 through 30 October 2015
Editor(s)
Chen, Q.
Torroni, P.
Villata, S.
Hsu, J.
Omicini, A.
Torroni, P.
Villata, S.
Hsu, J.
Omicini, A.
Place of publication
Cham
Pages
650-659
Files
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