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Social intelligence design for intercultural communication

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1 Author(s)
Toyoaki Nishida ; Graduate School of Informatics, Kyoto University, Kyoto, Japan

Research on social intelligence design aims at understanding and augmentation of social intelligence resulting from individual intelligence to coordinate one's behaviors with others' in a society and collective intelligence to solve problem and learn from experiences. It is assumed that social intelligence enables socially intelligent interactions at different levels of granularity: connectedness in the large, collaboration in the middle and natural interaction in the small. In this article, I discuss intercultural communication in the context of social intelligence design. I focus on empathy and argue for the sharing hypothesis: the more is shared, the more empathy is gained. I present how much the technology may contribute to enhance sharing in various aspects. I point out current limitations and prospect future research.

Published in:

Granular Computing (GrC), 2011 IEEE International Conference on

Date of Conference:

8-10 Nov. 2011