Pedestrian Meta-Strategy Analysis of Collision Avoidance with Two Autonomous Agents

被引：0

作者：

Miyamoto, Kensuke ^{[1
]}

Takefuji, Yoshiyasu ^{[1
]}

Watanabe, Norifumi ^{[2
]}

机构：

[1] Keio Univ, Grad Sch Media & Governance, Fujisawa, Kanagawa, Japan

[2] Tokyo Univ Technol, Sch Comp Sci, Hachioji, Tokyo, Japan

来源：

2015 IEEE 4TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE) | 2015年

关键词：

Meta-Strategy Analysis; Collision Avoidance; Virtual Environment; Walking Trajectory Analysis;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：467 / 469

页数：3