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By providing empirical data for different cultures and social relationships, the
model presented here is able to estimate the nonverbal criteria for any culture in
different social relationships, and therefore provides a model for identifying the non-
verbal factors in any culture or social relationship.
6 Conclusion
In the present study, we initially attempted to identify theories that could be used to
explain culture and social relationship in a quantitative manner. We then looked at
two cultures and extracted statistical information with regard to two different kinds of
social relationship. The statistical information was then assimilated with existing
culture and social relationship theories where we employed a parameterized socio-
cultural model, which estimated proper posture based on culture and social
relationships. This model thereby provides a means of identifying the non-verbal
attributes for any culture or social relationship.
In future work, we intend to employ this model in our distance-learning system on
the web where two users from different countries can log on to the service and teach
their own language to a partner, as well as learn a foreign language from another
person. This system will thereby enable users to experience exchanges by employing
cultural specific postures through exploiting a human-computer interaction. In
creating such a facility, it will also, however, be necessary to evaluate how people
perceive the postures generated by our model in terms of naturalness.
Acknowledgment.
The work described in this paper was partially supported by the German
Research Foundation (DFG) with research grant RE2619/2-1, the Japan Society for the
Promotion of Science (JSPS) with a grant-in-aid for scientific research (C) (19500104), and by
the European Community (EC) in the eCIRCUS project IST-4-027656-STP.
References
1.
Lipi, A.A., Nakano, Y.: A Parameter-based Model for Generating Culturally Adaptive
Nonverbal Behaviors in Embodied Conversational Agents. In: HCII 2009, San Diego, pp.
631-640 (2009)
2.
Jan, D., et al.: A Computational model of culture-specific conversational behavior. In:
Proceedings of Intelligent Virtual Agents, Paris, France, pp. 45-56 (September 2007)
3.
O'Neill-Brown, P.: Setting the stage for the culturally adaptive agent. In: Proceedings of
the 1997 AAAI Fall Symposium on Socially Intelligent Agents, pp. 93-97 (1997)
4.
Carney, D.R., Hall, J.A., LeBeau, L.S.: Beliefs About The Nonverbal Expression Of Social
Power. Journal of Nonverbal Behavior 29(2), 105-123 (2005), Summer 2005 a 2005
Springer Science Business Media, Inc. (June 2005) doi:10.1007/s10919-005-2743-z
5.
Triandis, C.H., et al.: Three cross-cultural studies of subjective culture. Journal of
Personality and Social Psychology, Monograph Supplement 8(4), 1-42 (1983)
6.
Krauss, R.M., Chiu, C.Y.: Language and Social Behavior. In: Gilbert, D., Fiske, S.,
Lindsey, G. (eds.) Handbook of social psychology, 4th edn., vol. 2, pp. 41-88. McGraw-
Hill, Boston
