Paper Info
Title
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.
Year
DOI
Venue
2012
10.1109/ICCI-CC.2012.6311141
2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing
Keywords
Field
DocType
people preference comparison,culture-dependent queuing behaviors,simulated human crowd,intercultural interaction,nonverbal interaction culture,human recognition,body interaction,participant acceptance,participant feedback,video environment,interactive-game environment,queuing behavior coding,posture scoring system,immersive display,FAtiMA emotion agent architecture,agent behavioral interaction planning
Immersive display,Know-how,Computer science,Multi-agent system,Nonverbal communication,Agent architecture,Coding (social sciences),Queueing theory,Multimedia,Feeling
Conference
ISBN
Citations 
PageRank 
978-1-4673-2794-7
3
0.43
References 
Authors
12
5
Name
Order
Citations
PageRank
Sutasinee Thovutikul1273.74
Divesh Lala25213.91
Nils van Kleef330.43
Yoshimasa Ohmoto46317.13
Toyoaki Nishida51097196.19