Language-support system using character recognition
VRCAI '04 Proceedings of the 2004 ACM SIGGRAPH international conference on Virtual Reality continuum and its applications in industry
Describing and generating multimodal contents featuring affective lifelike agents with MPML
New Generation Computing
Implementing Social Filter Rules in a Dialogue Manager Using Statecharts
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Dialogue management for social game characters using statecharts
ACE '08 Proceedings of the 2008 International Conference on Advances in Computer Entertainment Technology
Expert Systems with Applications: An International Journal
Eliza meets the wizard-of-oz: blending machine and human control of embodied characters
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Gesture based dialogue management using behavior network for flexibility of human robot interaction
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Designing and evaluating a wizarded uncertainty-adaptive spoken dialogue tutoring system
Computer Speech and Language
Warmth, competence, believability and virtual agents
IVA'10 Proceedings of the 10th international conference on Intelligent virtual agents
Presence: Teleoperators and Virtual Environments
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This paper promotes socially intelligent animated agents for the pedagogical task of English conversation training for native speakers of Japanese. As a novel feature, social role awareness is introduced to animated conversational agents, that are by non-strong affective reasoners, but otherwise often lack the social competence observed in humans. In particular, humans may easily adjust their behavior depending on their respective role in a social setting, whereas their synthetic pendants tend to be driven mostly by emotions and personality. Our main contribution is the incorporation of a “social filter program” to mental models of animated agents. This program may qualify an agent's expression of its emotional state by the social contest, thereby enhancing the agent's believability as a conversational partner. Our implemented system is web-based and demonstrates socially aware animated agents in a virtual coffee shop environment. An experiment with our conversation system shows that users consider socially aware agents as more natural than agents that violate conventional practices