Pedestrian meta-strategy analysis of collision avoidance with two autonomous agents

In this paper, we aim to build an agent model that enables cooperative behaviors by estimation human intention. Human changes their action decision process by other´s behavior. So, we analyze human behavior with switching action decision process. We have targeted collision avoidance as an example of a simple cooperative behavior. We have set two agents with Meta-Strategy model to a virtual environment SIGVerse. We have analyzed subject´s walking trajectories, when two agents have different behavior strategies. It was confirmed that subjects switch their avoidance behaviors by agents´ strategies.