Predicting User Psychological Characteristics from Interactions with Empathetic Virtual Agents
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Social intelligence design for knowledge circulation
DNIS'10 Proceedings of the 6th international conference on Databases in Networked Information Systems
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Social judgment is a social inference process whereby an agent singles out individuals to blame or credit for multi-agent activities. Such inferences are a key aspect of social intelligence that underlie social planning, social learning, natural language pragmatics and computational models of emotion. With the advance of multi-agent interactive systems and the need of designing socially aware systems and interfaces to interact with people, it is increasingly important to model this human-centric form of social inference. Based on psychological attribution theory, this paper presents a general computational framework to automate social inference based on an agent’s causal knowledge and observations of interaction.