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

Abstract

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.