Virtual Sensing and Virtual Reality: How New Technologies Can Boost Research on Crowd Dynamics

Frontiers in Robotics and AI

Mehdi Moussaïd¹  Victor R. Schinazi²  Mubbasir Kapadia³  Tyler Thrash⁴ 

[1] Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin, Germany;Chair of Cognitive Science, Department of Humanities, Social, and Political Sciences, ETH Zurich, Zurich, Switzerland;Computer Science, Rutgers University, The State University of New Jersey, New Brunswick, NJ, United States;Digital Society Initiative, University of Zurich, Zurich, Switzerland;Geographic Information Visualization and Analysis, Department of Geography, University of Zurich, Zurich, Switzerland;

关键词: pedestrians;    collective movement;    complex systems;    social interactions;    tracking;    virtual environment;   

DOI  :  10.3389/frobt.2018.00082

来源: DOAJ

【 摘 要 】

The collective behavior of human crowds often exhibits surprisingly regular patterns of movement. These patterns stem from social interactions between pedestrians such as when individuals imitate others, follow their neighbors, avoid collisions with other pedestrians, or push each other. While some of these patterns are beneficial and promote efficient collective motion, others can seriously disrupt the flow, ultimately leading to deadly crowd disasters. Understanding the dynamics of crowd movements can help urban planners manage crowd safety in dense urban areas and develop an understanding of dynamic social systems. However, the study of crowd behavior has been hindered by technical and methodological challenges. Laboratory experiments involving large crowds can be difficult to organize, and quantitative field data collected from surveillance cameras are difficult to evaluate. Nevertheless, crowd research has undergone important developments in the past few years that have led to numerous research opportunities. For example, the development of crowd monitoring based on the virtual signals emitted by pedestrians' smartphones has changed the way researchers collect and analyze live field data. In addition, the use of virtual reality, and multi-user platforms in particular, have paved the way for new types of experiments. In this review, we describe these methodological developments in detail and discuss how these novel technologies can be used to deepen our understanding of crowd behavior.

【 授权许可】

Unknown