Title
On conversational agents with mental states
Author
Bosse, T.
Provoost, S.
Contributor
Brinkman, W.P. (editor)
Broekens, J. (editor)
Heylen, D. (editor)
Publication year
2015
Abstract
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.
Subject
Human & Operational Modelling
TPI - Training & Performance Innovations
ELSS - Earth, Life and Social Sciences
Aggression de-escalation
Cognitive modelling
Virtual training
Forestry
Aggression de-escalation
Cognitive modelling
Conversational agents
Embodied conversational agent
Mental state
Social skills
Traditional approaches
Virtual training
Intelligent virtual agents
To reference this document use:
http://resolver.tudelft.nl/uuid:fd44c709-5116-4e80-8769-f1a15c377f41
DOI
https://doi.org/10.1007/978-3-319-21996-7_6
TNO identifier
572431
Publisher
Springer Verlag
ISBN
9783319219950
ISSN
0302-9743
Source
15th International Conference on Intelligent Virtual Agents, IVA 2015, 26 August 2015 through 28 August 2015, 9238, 60-64
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Document type
conference paper