TY - GEN
T1 - Modeling of cooperative behavior agent based on collision avoidance decision process
AU - Miyamto, Kensuke
AU - Yoshioka, Hiroaki
AU - Watanabe, Norifumi
AU - Takefuji, Yoshiyasu
PY - 2014/10/29
Y1 - 2014/10/29
N2 - Recent years, robots are useful at home such as cleaning task or communication tools. So there are a lot of studies about cooperative behavior with robots. In order to realize cooperative tasks with robots, it is necessary that robots estimate human intention from human behavior and act in the context based on the intention. In this research, we construct an agent model that enables coordinated behavior by estimating human intention. We focus on collision avoidance as an example of a simple cooperative behavior. We implemented that a agent has Meta-Strategy model in a virtual environment. We have a collision avoidance experiment between virtual agent and human subject and analyzed subject's behavior. It was confirmed that the agent's behavior can influence the human avoidance behavior from experimental results. By indicating the agent's intention, we consider it is possible to achieve cooperative collision avoidance.
AB - Recent years, robots are useful at home such as cleaning task or communication tools. So there are a lot of studies about cooperative behavior with robots. In order to realize cooperative tasks with robots, it is necessary that robots estimate human intention from human behavior and act in the context based on the intention. In this research, we construct an agent model that enables coordinated behavior by estimating human intention. We focus on collision avoidance as an example of a simple cooperative behavior. We implemented that a agent has Meta-Strategy model in a virtual environment. We have a collision avoidance experiment between virtual agent and human subject and analyzed subject's behavior. It was confirmed that the agent's behavior can influence the human avoidance behavior from experimental results. By indicating the agent's intention, we consider it is possible to achieve cooperative collision avoidance.
UR - http://www.scopus.com/inward/record.url?scp=84914666202&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84914666202&partnerID=8YFLogxK
U2 - 10.1145/2658861.2658936
DO - 10.1145/2658861.2658936
M3 - Conference contribution
AN - SCOPUS:84914666202
T3 - HAI 2014 - Proceedings of the 2nd International Conference on Human-Agent Interaction
SP - 257
EP - 260
BT - HAI 2014 - Proceedings of the 2nd International Conference on Human-Agent Interaction
PB - Association for Computing Machinery
T2 - 2nd International Conference on Human-Agent Interaction, HAI 2014
Y2 - 29 October 2014 through 31 October 2014
ER -