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

Kensuke Miyamoto, Yoshiyasu Takefuji, Norifumi Watanabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages467-469
Number of pages3
ISBN (Print)9781479987511
DOIs
Publication statusPublished - 2016 Feb 3
Event4th IEEE Global Conference on Consumer Electronics, GCCE 2015 - Osaka, Japan
Duration: 2015 Oct 272015 Oct 30

Other

Other4th IEEE Global Conference on Consumer Electronics, GCCE 2015
CountryJapan
CityOsaka
Period15/10/2715/10/30

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Keywords

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

ASJC Scopus subject areas

  • Instrumentation
  • Biotechnology
  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Miyamoto, K., Takefuji, Y., & Watanabe, N. (2016). Pedestrian meta-strategy analysis of collision avoidance with two autonomous agents. In 2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015 (pp. 467-469). [7398584] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE.2015.7398584