Title :
Social intelligence design for intercultural communication
Author :
Nishida, Toyoaki
Author_Institution :
Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan
Abstract :
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.
Keywords :
social networking (online); ubiquitous computing; collective intelligence; intercultural communication; social intelligence augmentation; social intelligence design; socially intelligent interaction; Artificial intelligence; Conferences; Humans; Mirrors; Neurons; Real time systems; Robots; empathy; immersive interaction environment; intercultural communication; learning by mimicking; sharing hypothesis;
Conference_Titel :
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4577-0372-0
DOI :
10.1109/GRC.2011.6122561