Abstract
The challenge of making a virtual world believable includes a requirement for AI entities which autonomously react to a dynamic environment. After the breakthroughs in believability introduced by modern lightning and physics techniques, the focus is shifting to better AI behavior sophistication. Avatars and agents in a realistic virtual environment must exhibit a certain degree of presence and awareness of the surroundings, reacting consistently to unexpected contingencies and social situations. Unconscious reactions serve as evidence of life, and can also signal social availability and spatial awareness to others. These behaviors get lost when avatar motion requires explicit user control. This paper presents a new approach for generating believable social behavior in avatars. The focus is on human territorial behaviors during social interactions, such as during conversations and gatherings. Driven by theories on human territoriality, we define a reactive framework which allows avatars group dynamics during social interaction. This approach gives us enough flexibility to model the territorial dynamics of social interactions as a set of social norms which constrain the avatar’s reactivity by running a set of behaviors which blend together. The resulting social group behavior appears relatively robust, but perhaps more importantly, it starts to bring a new sense of relevance and continuity to virtual bodies that often get separated from the simulated social situation.
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References
Mori, M.: The uncanny valley. Energy 7(4) (1970)
Cassell, J., Vilhjalmsson, H.: Fully embodied conversational avatars: Making communicative behaviors autonomous. Autonomous Agents and Multi-Agent Systems 2(1), 45–64 (1999)
Vilhjalmsson, H., Cassell, J.: Bodychat: Autonomous communicative behaviors in avatars. In: Autonomous Agents, pp. 477–486. ACM Press, New York (1998)
Kendon, A.: Conducting Interaction: Patterns of behavior in focused encounters. Cambridge University Press, Cambridge (1990); Main Area (multimodal commnication)
Friedman, D., Steed, A., Slater, M.: Spatial social behavior in second life. In: Pelachaud, C., Martin, J.-C., André, E., Chollet, G., Karpouzis, K., Pelé, D. (eds.) IVA 2007. LNCS (LNAI), vol. 4722, pp. 252–263. Springer, Heidelberg (2007)
Salem, B., Earle, N.: Designing a non-verbal language for expressive avatars. In: Collaborative Virtual Environments, pp. 93–101. ACM, New York (2000)
Pedica, C., Vilhjálmsson, H.H.: Social perception and steering for online avatars. In: Prendinger, H., Lester, J.C., Ishizuka, M. (eds.) IVA 2008. LNCS (LNAI), vol. 5208, pp. 104–116. Springer, Heidelberg (2008)
Cassell, J., Vilhjalmsson, H., Bickmore, T.: Beat: the behavior expression animation toolkit. In: SIGGRAPH 2001, August 12-17, pp. 477–486. ACM Press, New York (2001)
Gillies, M., Ballin, D.: Integrating autonomous behavior and user control for believable agents. In: Autonomous Agents and Multi-Agent Systems, July 19-23, pp. 336–343. ACM Press, New York (2004)
Helbing, D., Molnár, P.: Social force model for pedestrian dynamics. Physical Review E 51(5), 4282 (1995)
Couzin, I., Krause, J., James, R., Ruzton, G., Franks, N.: Collective memory and spatial sorting in animal groups. Journal of Theoretical Biology, 1–11 (2002)
Pelechano, N., Allbeck, J.M., Badler, N.I.: Controlling individual agents in high-density crowd simulation, pp. 99–108 (2007)
Heigeas, L., Luciani, A., Thollot, J., Castagne, N.: A physically-based particle model of emergent crowd behaviors. In: Proc. of GraphiCon, September 5-10 (2003)
Helbing, D., Molnar, P., Schweitzer, F.: Computer simulations of pedestrian dynamics and trail formation (1994)
Treuille, A., Cooper, S., Popovic, Z.: Continuum crowds. In: SIGGRAPH 2006 Papers, pp. 1160–1168. ACM, New York (2006)
Lee, K.H., Choi, M.G., Hong, Q., Lee, J.: Group behavior from video: a data-driven approach to crowd simulation, pp. 109–118 (2007)
Musse, S.R., Thalmann, D.: Hierarchical model for real time simulation of virtual human crowds. IEEE Transactions on Visualization and Computer Graphics 7(2), 152–164 (2001)
Shao, W., Terzopoulos, D.: Autonomous pedestrians. Graph. Models 69(5-6), 246–274 (2007)
Rehm, M., André, E., Nischt, M.: Let’s come together — social navigation behaviors of virtual and real humans. In: Maybury, M., Stock, O., Wahlster, W. (eds.) INTETAIN 2005. LNCS, vol. 3814, pp. 124–133. Springer, Heidelberg (2005)
Reynolds, C.W.: Steering behaviors for autonomous characters. In: Proc. of the Game Developers Conference, pp. 763–782. Miller Freeman Game Group, San Francisco (1999)
Amor, H.B., Obst, O., Murray, J.: Fast, neat and under control: Inverse steering behaviors for physical autonomous agents
Jan, D., Traum, D.: Dynamic movement and positioning of embodied agents in multiparty conversation. In: Proc. of the ACL Workshop on Embodied Language Processing, June 2007, pp. 59–66 (2007)
Jan, D., Traum, D.R.: Dialog simulation for background characters, pp. 65–74 (2005)
Scheflen, A.E.: Human Territories: how we behave in space and time. Prentice-Hall, New York (1976)
Goffman, E.: Frame Analyses: An Essay on the Organization of Experience. Harvard University Press, Cambridge (1974)
Hall, E.T.: The Hidden Dimension. Doubleday, New York (1966)
Vilhjalmsson, H.: Animating conversation in online games. In: Rauterberg, M. (ed.) ICEC 2004. LNCS, vol. 3166, pp. 139–150. Springer, Heidelberg (2004)
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Pedica, C., Vilhjálmsson, H.H. (2009). Spontaneous Avatar Behavior for Human Territoriality. In: Ruttkay, Z., Kipp, M., Nijholt, A., Vilhjálmsson, H.H. (eds) Intelligent Virtual Agents. IVA 2009. Lecture Notes in Computer Science(), vol 5773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04380-2_38
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DOI: https://doi.org/10.1007/978-3-642-04380-2_38
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