Synopsis

Identifying Phases in Low-Speed Human Movement

Physics 17, s111
By observing the motion of preschool children, researchers have developed a thermodynamic description of human movement that pinpoints collective phases emerging when social interactions are strong.
Oksana Kuzmina/stock.adobe.com

Over the past few decades, physicists have shown that the collective motion of animals can exhibit thermodynamic-like phases. But empirical studies of such phases in human motion have been limited to fast-moving crowds, with average speeds above 1 m/s. Now Chaoming Song at the University of Miami and his colleagues have used observations of preschool children to study lower-speed settings, where social interactions are more relevant [1]. The researchers’ data analysis allowed them to identify two collective phases arising at average speeds below 1 m/s. The obtained insights on how social interactions affect human movement have potential implications for behavioral science, biology, and epidemiology.

Using radio-tracking technology, Song and his colleagues collected high-resolution data on the movement of preschoolers in four different classroom and playground settings. The researchers identified a gas-like phase in which the children moved freely and independently, without forming small social groups. They also spotted a phase in which some children formed small social groups, resembling liquid droplets, while others freely entered and exited these groups, behaving like gas particles. Relative to the gas-like phase, this liquid–gas coexistence phase was associated with a lower average speed and a higher density of children.

Based on their empirical data, Song and his colleagues developed a statistical-physics model that reproduced the two identified phases. The researchers then used this model to create a phase diagram for collective human motion at average speeds below 1 m/s. They say that their radio-tracking technology could be used to produce analogous phase diagrams for the dynamics of other active-matter systems, such as swarms of microrobots.

–Ryan Wilkinson

Ryan Wilkinson is a Corresponding Editor for Physics Magazine based in Durham, UK.

References

  1. Y. Zhang et al., “Emergence of social phases in human movement,” Phys. Rev. E 110, 044303 (2024).

Subject Areas

Interdisciplinary PhysicsComplex Systems

Related Articles

Spike Mechanism of Biological Neurons May Boost Artificial Neural Networks
Interdisciplinary Physics

Spike Mechanism of Biological Neurons May Boost Artificial Neural Networks

By incorporating electrical pulses with shapes similar to those of the spikes from biological neurons, researchers improved the ability to train energy-efficient types of neural networks. Read More »

Improved Training for Energy-Saving Neural Nets
Optoelectronics

Improved Training for Energy-Saving Neural Nets

A new training technique could increase the number of physical systems that could serve as AI platforms. Read More »

Vaccination Strategy Targets Fast-Changing Pathogens
Interdisciplinary Physics

Vaccination Strategy Targets Fast-Changing Pathogens

A theory outlines an immunization protocol that fosters powerful antibodies while avoiding immune-cell death. Read More »

More Articles