Comparing people´s preference on culture-dependent queuing behaviors in a simulated crowd

Difficulties in living in a different culture are caused by different patterns of thinking, feeling and potential actions. People who enter into a new culture or unfamiliar social situation don´t know how to behave toward other people. Queuing is a good example behavior of intercultural interaction in a human crowd. This research aims to develop a system that can help users learn a different culture of nonverbal interaction using a simulated crowd. Users can learn how to engage in interaction or imitate queuing behavior in different styles from a simulated human crowd. The human recognition and body interaction section describe the hypothesis of participants´ acceptance and feedback. The video and interactive-game environment are discussed and the setting example scenario are shown. The comparative discussion shows the interactive-game is cover the participants´ acceptant and feedback. The queuing behavior coding is designed from the posture scoring system. An immersive environment is used for 360 degrees viewing. Learners can observe the agents´ behavior in the scenario via immersive display and can interact with the agents by using their body. The FAtiMA emotion agent architecture is applied in the agent´s behavioral interaction planning. Preliminary work is shown. The result is a variety of styles of the formation of queuing behavior of people from different cultures.