Evidence map›Paper›PMID 31288650›Full record

ArticleJournal of the Royal Society, Interface2019

How vision governs the collective behaviour of dense cycling pelotons.

J Belden, M M Mansoor, A Hellum, S R Rahman, A Meyer, C Pease, J Pacheco, S Koziol, T T Truscott

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Scale-Free Dynamics in Animal Groups and Brain Networks.Frontiers in systems neuroscience · 2020
    Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

J Belden1 Naval Undersea Warfare Center , Newport, RI 02841 , USA.
M M Mansoor2 Department of Mechanical and Aerospace Engineering, Utah State University , Logan, UT 84322 , USA.
A Hellum1 Naval Undersea Warfare Center , Newport, RI 02841 , USA.
S R Rahman2 Department of Mechanical and Aerospace Engineering, Utah State University , Logan, UT 84322 , USA.
A Meyer3 Robbins College of Health and Human Sciences, Baylor University , Waco, TX 76798 , USA.
C Pease4 VeloCam Services, New York, NY , USA.
J Pacheco5 CSAIL , Massachusetts Institute of Technology , Boston, MA 02139 , USA.
S Koziol6 School of Engineering and Computer Science, Baylor University , Waco, TX 76798 , USA.
T T Truscott2 Department of Mechanical and Aerospace Engineering, Utah State University , Logan, UT 84322 , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In densely packed groups demonstrating collective behaviour, such as bird flocks, fish schools or packs of bicycle racers (cycling pelotons), information propagates over a network, with individuals sensing and reacting to stimuli over relatively short space and time scales. What remains elusive is a robust, mechanistic understanding of how sensory system properties affect interactions, information propagation and emergent behaviour. Here, we show through direct observation how the spatio-temporal limits of the human visual sensory system govern local interactions and set the network structure in large, dense collections of cyclists. We found that cyclists align in patterns within a ± 30° arc corresponding to the human near-peripheral visual field, in order to safely accommodate motion perturbations. Furthermore, the group structure changes near the end of the race, suggesting a narrowing of the used field of vision. This change is consistent with established theory in psychology linking increased physical exertion to the decreased field of perception. Our results show how vision, modulated by arousal-dependent neurological effects, sets the local arrangement of cyclists, the mechanisms of interaction and the implicit communication across the group. We furthermore describe information propagation phenomena with an analogous elastic solid mechanics model. We anticipate our mechanistic description will enable a more detailed understanding of the interaction principles for collective behaviour in a variety of animals.

Indexed as

Models, BiologicalSocial BehaviorVirtual RealityBicyclingHumansVisual Perceptionbicyclingcollective behaviourcycling pelotonsvisual fieldvisual sensory system

Identifiers

PMID31288650
PMCPMC6685023

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.