Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 48th Annual Conference of the Institute of Systems, Control and Information Engineers
Session ID : 6057
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Affective Aspects of Social Intelligence in Human-Machine Collaborative Systems and Its Effectiveness
*Hiroshi NakajimaYasunori MorishimaRyota YamadaScott BraveHeidy MaldonadeClifford NassShigeyasu Kawaji
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Abstract
In this information society of today, it is often argued that it is necessary to create a new way of human-machine interaction. In this paper, an agent with social response capabilities has been developed to achieve this goal. In order to implement social intelligence in the agent, a mind model has been developed to render affective expressions and personality of the agent. The mind model controls the social behaviors of the agent, thus making it possible for the user to have more social interactions with the agent. The experiment with the social intelligent agent-based learning system suggested that a greater degree of not only learning performance but feelings of users was achieved.
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© 2004 The Institute of Systems, Control and Information Engineers
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