The affective reasoner: a process model of emotions in a multi-agent system
The affective reasoner: a process model of emotions in a multi-agent system
The media equation: how people treat computers, television, and new media like real people and places
Affective computing
FLAME—Fuzzy Logic Adaptive Model of Emotions
Autonomous Agents and Multi-Agent Systems
Negotiated Collusion: Modeling Social Language and its Relationship Effects in Intelligent Agents
User Modeling and User-Adapted Interaction
Representing and Parameterizing Agent Behaviors
CA '02 Proceedings of the Computer Animation
Establishing and maintaining long-term human-computer relationships
ACM Transactions on Computer-Human Interaction (TOCHI)
Practical approaches to comforting users with relational agents
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Persuading users through counseling dialogue with a conversational agent
Proceedings of the 4th International Conference on Persuasive Technology
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Conversational agents have been subject of extensive research. An increasingly wider number of such agents simulate affective behavior in order to convey familiarity and increase believability. Nevertheless, the evolution of social relationships among people occurs gradually and the degree of intimacy associated with such relationships regulates people's behaviors. Similarly, we must take into account the progressive growth of relationships when modeling user-agent interaction. In this paper we present a model that regulates the development of user-agent relationships, articulating the Social Penetration Theory with personality modeling. User tests showed that gradual relationship building achieved through the implementation of our model makes an agent more interesting, while increasing its believability, engagement and fun.