The Visual Coupling between Neighbors in Real and Virtual Crowds | Zendy

Kevin Rio | Zendy; William H. Warren | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

The Visual Coupling between Neighbors in Real and Virtual Crowds

Author(s) -

Kevin Rio,

William H. Warren

Publication year - 2014

Publication title -

transportation research procedia

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.657

H-Index - 40

eISSN - 2352-1465

pISSN - 2352-1457

DOI - 10.1016/j.trpro.2014.09.017

Subject(s) - crowds , computer science , heading (navigation) , crowd simulation , swarming (honey bee) , pedestrian , human–computer interaction , computer vision , artificial intelligence , simulation , computer security , geography , transport engineering , engineering , geodesy , biology , botany

Many models of crowd behavior are based on local interactions between pedestrians, but little is known about the actual mechanisms governing these interactions. In Experiments 1 and 2, a participant walked with three human ‘confederates’ or a virtual crowd of 30, while the heading direction or speed of a subset of neighbors was manipulated. In Experiment 3, real crowds of 16 or 20 walked together in a swarming scenario. We find that pedestrians are unidirectionally coupled to neighbors ahead of them, the influence of multiple neighbors is linearly combined, and their weights decrease with distance

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research