Affective and social behavior in animated agents

Helmut Prendinger; Mitsuru Ishizuka

Affective and social behavior in animated agents

Helmut Prendinger, Mitsuru Ishizuka

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper introduces a model of interaction between users and animated agents as well as inter-agent interaction that supports basic features of affective conversation and social interaction. As essential requirements for animated agents' capability to engage in and exhibit affective and social communication we motivate reasoning about emotions and emotion expression, personality, and social role awareness. The main contribution of our paper is the incorporation of 'social filter programs' to mental models of animated agents. Those programs may qualify an agent's expression of its emotional state by the social context, thereby enhancing the agent's believability as a conversational partner. Our implemented system is entirely web-based and demonstrates animated agents with affective and social behavior in a virtual coffee shop environment.

Original language	English
Title of host publication	Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
Editors	M.H. Smith, W.A. Gruver, L.O. Hall
Pages	2918-2923
Number of pages	6
Volume	5
Publication status	Published - 2001
Externally published	Yes
Event	Joint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC Duration: 2001 Jul 25 → 2001 Jul 28

Other

Other	Joint 9th IFSA World Congress and 20th NAFIPS International Conference
City	Vancouver, BC
Period	01/7/25 → 01/7/28

ASJC Scopus subject areas

Computer Science(all)
Media Technology

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Prendinger, H., & Ishizuka, M. (2001). Affective and social behavior in animated agents. In M. H. Smith, W. A. Gruver, & L. O. Hall (Eds.), Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS (Vol. 5, pp. 2918-2923)

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pages = "2918--2923",

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AB - This paper introduces a model of interaction between users and animated agents as well as inter-agent interaction that supports basic features of affective conversation and social interaction. As essential requirements for animated agents' capability to engage in and exhibit affective and social communication we motivate reasoning about emotions and emotion expression, personality, and social role awareness. The main contribution of our paper is the incorporation of 'social filter programs' to mental models of animated agents. Those programs may qualify an agent's expression of its emotional state by the social context, thereby enhancing the agent's believability as a conversational partner. Our implemented system is entirely web-based and demonstrates animated agents with affective and social behavior in a virtual coffee shop environment.

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