Quantifying and Modeling Coordination and Coherence in Pedestrian Groups
Coherent collective behavior emerges from local interactions between individuals that generate group dynamics. An outstanding question is how to quantify group coordination of non-rhythmic behavior, in order to understand the nature of these dynamics at both a local and global level. We investigate...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2017-06-01
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| Series: | Frontiers in Psychology |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fpsyg.2017.00949/full |
| _version_ | 1818173335408738304 |
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| author | Adam W. Kiefer Adam W. Kiefer Adam W. Kiefer Adam W. Kiefer Kevin Rio Stéphane Bonneaud Ashley Walton William H. Warren |
| author_facet | Adam W. Kiefer Adam W. Kiefer Adam W. Kiefer Adam W. Kiefer Kevin Rio Stéphane Bonneaud Ashley Walton William H. Warren |
| author_sort | Adam W. Kiefer |
| collection | DOAJ |
| description | Coherent collective behavior emerges from local interactions between individuals that generate group dynamics. An outstanding question is how to quantify group coordination of non-rhythmic behavior, in order to understand the nature of these dynamics at both a local and global level. We investigate this problem in the context of a small group of four pedestrians walking to a goal, treating their speed, and heading as behavioral variables. To measure the local coordination between pairs of pedestrians, we employ cross-correlation to estimate coupling strength and cross-recurrence quantification (CRQ) analysis to estimate dynamic stability. When compared to reshuffled virtual control groups, the results indicate lower-dimensional behavior and a stronger, more stable coupling of walking speed in real groups. There were no differences in heading alignment observed between the real and virtual groups, due to the common goal. By modeling the local speed coupling, we can simulate coordination at the dyad and group levels. The findings demonstrate spontaneous coordination in pedestrian groups that gives rise to coherent global behavior. They also offer a methodological approach for investigating group dynamics in more complex settings. |
| first_indexed | 2024-12-11T19:26:52Z |
| format | Article |
| id | doaj.art-cee1643cef7f491eb31fc18811b35b99 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-12-11T19:26:52Z |
| publishDate | 2017-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-cee1643cef7f491eb31fc18811b35b992022-12-22T00:53:22ZengFrontiers Media S.A.Frontiers in Psychology1664-10782017-06-01810.3389/fpsyg.2017.00949246236Quantifying and Modeling Coordination and Coherence in Pedestrian GroupsAdam W. Kiefer0Adam W. Kiefer1Adam W. Kiefer2Adam W. Kiefer3Kevin Rio4Stéphane Bonneaud5Ashley Walton6William H. Warren7Department of Cognitive, Linguistic and Psychological Sciences, Brown UniversityProvidence, RI, United StatesDivision of Sports Medicine, Cincinnati Children's Hospital Medical CenterCincinnati, OH, United StatesDepartment of Pediatrics, College of Medicine, University of CincinnatiCincinnati, OH, United StatesCenter for Cognition, Action and Perception, Department of Psychology, University of CincinnatiCincinnati, OH, United StatesDepartment of Cognitive, Linguistic and Psychological Sciences, Brown UniversityProvidence, RI, United StatesDepartment of Cognitive, Linguistic and Psychological Sciences, Brown UniversityProvidence, RI, United StatesCenter for Cognition, Action and Perception, Department of Psychology, University of CincinnatiCincinnati, OH, United StatesDepartment of Cognitive, Linguistic and Psychological Sciences, Brown UniversityProvidence, RI, United StatesCoherent collective behavior emerges from local interactions between individuals that generate group dynamics. An outstanding question is how to quantify group coordination of non-rhythmic behavior, in order to understand the nature of these dynamics at both a local and global level. We investigate this problem in the context of a small group of four pedestrians walking to a goal, treating their speed, and heading as behavioral variables. To measure the local coordination between pairs of pedestrians, we employ cross-correlation to estimate coupling strength and cross-recurrence quantification (CRQ) analysis to estimate dynamic stability. When compared to reshuffled virtual control groups, the results indicate lower-dimensional behavior and a stronger, more stable coupling of walking speed in real groups. There were no differences in heading alignment observed between the real and virtual groups, due to the common goal. By modeling the local speed coupling, we can simulate coordination at the dyad and group levels. The findings demonstrate spontaneous coordination in pedestrian groups that gives rise to coherent global behavior. They also offer a methodological approach for investigating group dynamics in more complex settings.http://journal.frontiersin.org/article/10.3389/fpsyg.2017.00949/fullgroup locomotiongroup coordinationcross-recurrence quantificationprincipal components analysis |
| spellingShingle | Adam W. Kiefer Adam W. Kiefer Adam W. Kiefer Adam W. Kiefer Kevin Rio Stéphane Bonneaud Ashley Walton William H. Warren Quantifying and Modeling Coordination and Coherence in Pedestrian Groups Frontiers in Psychology group locomotion group coordination cross-recurrence quantification principal components analysis |
| title | Quantifying and Modeling Coordination and Coherence in Pedestrian Groups |
| title_full | Quantifying and Modeling Coordination and Coherence in Pedestrian Groups |
| title_fullStr | Quantifying and Modeling Coordination and Coherence in Pedestrian Groups |
| title_full_unstemmed | Quantifying and Modeling Coordination and Coherence in Pedestrian Groups |
| title_short | Quantifying and Modeling Coordination and Coherence in Pedestrian Groups |
| title_sort | quantifying and modeling coordination and coherence in pedestrian groups |
| topic | group locomotion group coordination cross-recurrence quantification principal components analysis |
| url | http://journal.frontiersin.org/article/10.3389/fpsyg.2017.00949/full |
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