Human Tracking using Floor Sensors based on the Markov Chain Monte Carlo Method
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Interaction debugging: an integral approach to analyze human-robot interaction
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Real-time auditory and visual multiple-object tracking for humanoids
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Interaction debugging: an integral approach to analyze human-robot interaction
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
The snackbot: documenting the design of a robot for long-term human-robot interaction
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
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This paper investigates human behavior around an interactive robot at a science museum. To develop a communication robot that works in daily environments, it is important to investigate the available information from a robot about people's behavior. Such information will enable the robot to predict people's behavior so that the robot can optimize its interactive behavior. We analyzed visitor behavior toward a simple interactive robot exhibited at a science museum in relation to information from sound level and range sensors. We discovered factors that influence the way people approach, maintain distance, and interact both physically and verbally with the robot. This enabled us to extract meaningful information from the sensory information and apply it to communication robots.