Creating an intelligent evaluation system for cultural intelligence

In today´s global intercultural activities, individuals and organizations must be culturally intelligent. Research on Cultural Intelligence provides a new perspective and a promising means of reducing intercultural conflicts and obstacles. Up until now, research in this domain has used traditional methods in aiding cultural experts, and has relied mainly on questionnaires to test manually the Cultural Intelligence of individuals. This paper provides an opportunity which attempted to improve one´s Cultural Intelligence without cultural experts. To reach this goal, a Cultural Intelligence computational model has been created and implemented in an intelligent system, based on an innovative breed of Artificial Intelligence technologies. The purpose of this intelligent system is to support individuals and organizations in solving the intercultural adaptation problems that they face in various authentic situations. The system is considered as highly intelligent due to its wealth of knowledge, openness, scalability, flexibility, adaptability, and capability to self-learn. As a result of these qualities, the system allows better interaction and more effective aid in the evaluation process so as to improve users´ cultural skills in different cultural settings in a shorter time.