Walking together: behavioural signatures of psychological crowds

Shared social identity and social norms shape risk-taking at mass gatherings

Shared social identity and social norms are often un(der)recognized within mass gatherings health literature, yet they can increase infectious disease transmission by motivating people to engage in risk-taking behaviours. Across three experiments (Ntotal = 1551), we investigated how shared social identities, perceived norms of resource-sharing, and perceived riskiness of sharing interact to shape decisions that can lead to disease transmission. In Experiment 1 (N = 528), we examined how shared social identity and perceived descriptive norms affect the likelihood of crowd members sharing resources that may contribute to disease spread. We then replicated this in Experiment 2 (N = 511) using perceived injunctive norms. In Experiment 3 (N = 512), we explored how high shared social identity, perceived norms, and perceived health risks of resource-sharing impact the likelihood of sharing that may, in turn, increase infectious disease transmission at mass gatherings. We found that high shared social identity interacts with perceived descriptive and injunctive norms, and low health risk perceptions, to increase the likelihood of accepting resources and giving resources at mass gatherings. We discuss the theoretical and practical implications for researchers, practitioners, and policymakers to build effective strategies to mitigate infectious disease transmission at mass gatherings.

Human Crowds as Social Networks: Collective Dynamics of Consensus and Polarization

A ubiquitous type of collective behavior and decision-making is the coordinated motion of bird flocks, fish schools, and human crowds. Collective decisions to move in the same direction, turn right or left, or split into subgroups arise in a self-organized fashion from local interactions between individuals without central plans or designated leaders. Strikingly similar phenomena of consensus (collective motion), clustering (subgroup formation), and bipolarization (splitting into extreme groups) are also observed in opinion formation. As we developed models of crowd dynamics and analyzed crowd networks, we found ourselves going down the same path as models of opinion dynamics in social networks. In this article, we draw out the parallels between human crowds and social networks. We show that models of crowd dynamics and opinion dynamics have a similar mathematical form and generate analogous phenomena in multiagent simulations. We suggest that they can be unified by a common collective dynamics, which may be extended to other psychological collectives. Models of collective dynamics thus offer a means to account for collective behavior and collective decisions without appealing to a priori mental structures.

The role of identity-related beliefs in the appraisal and management of crowding: Insights from the Hajj

In crowds, to the degree one identifies with other crowd members one likely experiences a sense of common purpose, social connection and mutual support. Such is the psychological significance of these correlates of a shared identity that even others' close physical proximity can be pleasurable. However, such pleasure in others' proximity cannot be assumed: physical crowding can bring practical challenges and so potentially disturb the positive experience of crowd membership. In the research reported here, we explore crowd members' reports of such challenges and the ways in which these were interpreted and managed through reference to the beliefs and values associated with crowd members' shared identity. Our data arise from semi-structured interviews (N = 33) with British Muslims after participating in the Hajj pilgrimage in Saudi Arabia. Exploring these data sheds light on the ways in which identity-related beliefs and values can contribute to the maintenance of order and harmony even in situations where crowding could undermine the positive experience of others' proximity. Accordingly, our analysis advances our understanding of the self-organization and self-policing of crowds.

From neural noise to co-adaptability: Rethinking the multifaceted architecture of motor variability

In the last decade, the source and the functional meaning of motor variability have attracted considerable attention in behavioral and brain sciences. This construct classically combined different levels of description, variable internal robustness or coherence, and multifaceted operational meanings. We provide here a comprehensive review of the literature with the primary aim of building a precise lexicon that goes beyond the generic and monolithic use of motor variability. In the pars destruens of the work, we model three domains of motor variability related to peculiar computational elements that influence fluctuations in motor outputs. Each domain is in turn characterized by multiple sub-domains. We begin with the domains of noise and differentiation. However, the main contribution of our model concerns the domain of adaptability, which refers to variation within the same exact motor representation. In particular, we use the terms learning and (social)fitting to specify the portions of motor variability that depend on our propensity to learn and on our largely constitutive propensity to be influenced by external factors. A particular focus is on motor variability in the context of the sub-domain named co-adaptability. Further groundbreaking challenges arise in the modeling of motor variability. Therefore, in a separate pars construens, we attempt to characterize these challenges, addressing both theoretical and experimental aspects as well as potential clinical implications for neurorehabilitation. All in all, our work suggests that motor variability is neither simply detrimental nor beneficial, and that studying its fluctuations can provide meaningful insights for future research.

"Are we in this together?": embedding social identity detection in drones improves emergency coordination

Autonomous systems, such as drones, are critical for emergency mitigation, management, and recovery. They provide situational awareness and deliver communication services which effectively guide emergency responders' decision making. This combination of technology and people comprises a socio-technical system. Yet, focusing on the use of drone technology as a solely operational tool, underplays its potential to enhance coordination between the different agents involved in mass emergencies, both human and non-human. This paper proposes a new methodological approach that capitalizes on social identity principles to enable this coordination in an evacuation operation. In the proposed approach, an adaptive drone uses sensor data to infer the group membership of the survivors it encounters during the operation. A corpus of 200 interactions of survivors' talk during real-life emergencies was computationally classified as being indicative of a shared identity or personal/no identity. This classification model, then, informed a game-theoretic model of human-robot interactions. Bayesian Nash Equilibrium analysis determined the predicted behavior for the human agent and the strategy that the drone needs to adopt to help with survivor evacuation. Using linguistic and synthetic data, we show that the identity-adaptive architecture outperformed two non-adaptive architectures in the number of successful evacuations. The identity-adaptive drone can infer which victims are likely to be helped by survivors and where help from emergency teams is needed. This facilitates effective coordination and adaptive performance. This study shows decision-making can be an emergent capacity that arises from the interactions of both human and non-human agents in a socio-technical system.

Beyond simple laboratory studies: Developing sophisticated models to study rich behavior

Psychology and neuroscience are concerned with the study of behavior, of internal cognitive processes, and their neural foundations. However, most laboratory studies use constrained experimental settings that greatly limit the range of behaviors that can be expressed. While focusing on restricted settings ensures methodological control, it risks impoverishing the object of study: by restricting behavior, we might miss key aspects of cognitive and neural functions. In this article, we argue that psychology and neuroscience should increasingly adopt innovative experimental designs, measurement methods, analysis techniques and sophisticated computational models to probe rich, ecologically valid forms of behavior, including social behavior. We discuss the challenges of studying rich forms of behavior as well as the novel opportunities offered by state-of-the-art methodologies and new sensing technologies, and we highlight the importance of developing sophisticated formal models. We exemplify our arguments by reviewing some recent streams of research in psychology, neuroscience and other fields (e.g., sports analytics, ethology and robotics) that have addressed rich forms of behavior in a model-based manner. We hope that these "success cases" will encourage psychologists and neuroscientists to extend their toolbox of techniques with sophisticated behavioral models - and to use them to study rich forms of behavior as well as the cognitive and neural processes that they engage.

Waiting and walking with strangers: a socio-psychological pedestrian experiment on joint action in anonymous situations

Research on pedestrian dynamics has generally dealt with temporary gatherings of people who do not know each other personally. These gatherings are often framed as highly individualized encounters in which social interactions play no or only a marginal role. However, recent research based on self-categorization theory showed the relevance of salient social identity for crowd dynamics. Drawing on the interactionist approach of social identity theory and the work of Erving Goffman and Alfred Schütz, this paper aims to show that anonymous encounters are carefully concerted social phenomena. The authors present the results of an exploratory social psychological experiment (N = 83), in which groups of participants were asked to wait for 5 min in a designated area with different communicative conditions and then to walk to a narrow exit. Based on the assumption that communication and conformity to expectations influences the behaviour of those present, we introduced four modifications during the waiting time and analysed questionnaire data and video recordings in a mixed-methods design. The results show that direct communication correlates with higher speed, cell phone use with greater distance to the nearest neighbour, and unexpected behaviour with slower movement.

Lapses in the Person Radar: ADHD Symptoms Predict Difficulty in Interpersonal Distancing

OBJECTIVE

Across contexts, from social cognition to the COVID-19 pandemic response, individual variation in the regulation of interpersonal distance has typically been viewed as a voluntary choice. Here we examine the frequency of unintentional lapses in interpersonal distancing, and their relationship with childhood ADHD symptoms.

METHOD

We administered a novel measure of difficulty with interpersonal distancing across three undergraduate samples (total N = 1,225), in addition to measures of recalled childhood ADHD symptoms, mind wandering, and hyperfocus.

RESULTS

Almost all (>97%) participants reported unintentional lapses in maintaining interpersonal distance, with 16% experiencing such lapses frequently. Thirty percent of the variance in these reports was accounted for by attentional traits: Inattentive and hyperactive/impulsive ADHD symptoms jointly predicted difficulties with interpersonal distancing, with the former relationship fully mediated by hyperfocus and spontaneous mind wandering.

CONCLUSION

Both inattentive and hyperactive/impulsive ADHD symptoms confer vulnerability to frequent unintentional lapses in interpersonal distancing.

Identification of social groups and waiting pedestrians at railway platforms using trajectory data

To investigate the impact of social groups on waiting behaviour of passengers at railway platforms a method to identify social groups through the monitoring of distances between pedestrians and the stability of those distances over time is introduced. The method allows the recognition of groups using trajectories only and thus opens up the possibility of studying crowds in public places without constrains caused by privacy protection issues. Trajectories from a railway platform in Switzerland were used to analyse the waiting behaviour of passengers in dependence of waiting time as well as the size of social groups. The analysis of the trajectories shows that the portion of passengers travelling in groups reaches up to 10% during the week and increases to 20% on the weekends. 60% of the groups were pairs, larger groups were less frequent. With increasing group size, the mean speed of the members decreases. Individuals and pairs often choose waiting spots at the sides of the stairs and in vicinity of obstacles, while larger groups wait close to the platform entries. The results indicate that passengers choose waiting places according to the following criteria and ranking: shortest ways, direction of the next intended action, undisturbed places and ensured communication. While individual passengers often wait in places where they are undisturbed and do not hinder others, the dominating comfort criterion for groups is to ensure communication. The results regarding space requirements of waiting passengers could be used for different applications. E.g. to enhance the level of service concept assessing the comfort of different types of users, to avoid temporary bottlenecks to improve the boarding and alighting process or to increase the robustness of the performance of railway platforms during peak loads by optimising the pedestrian distribution.

Precarious engagements and the politics of knowledge production: Listening to calls for reorienting hegemonic social psychology

In this paper, we invite psychologists to reflect on and recognize how knowledge is produced in the field of social psychology. Engaging with the work of decolonial, liberation and critical psychology scholars, we provide a six-point lens on precarity that facilitates a deeper understanding of knowledge production in hegemonic social psychology and academia at large. We conceptualize knowledge (re)production in psychology as five interdependent 'cogs' within the neoliberal machinery of academia, which cannot be viewed in isolation; (1) its epistemological foundations rooted in coloniality, (2) the methods and standards it uses to understand human thoughts, feelings and behaviours, (3) the documentation of its knowledge, (4) the dissemination of its knowledge and (5) the universalization of psychological theories. With this paper we also claim our space in academia as early career researchers of colour who inhabit the margins of hegemonic social psychology. We join scholars around the world in calling for a much-needed disciplinary shift that centres solutions to the many forms of violence that are inflicted upon marginalized members of the global majority. To conclude, we offer four political-personal intentions for the reorientation for the discipline of hegemonic social psychology with the aim to disrupt the politics of knowledge production and eradicate precarity.

A mobile EEG study on the psychophysiological effects of walking and crowding in indoor and outdoor urban environments

Environmental psychologists have established multiple psychological benefits of interaction with natural, compared to urban, environments on emotion, cognition, and attention. Yet, given the increasing urbanisation worldwide, it is equally important to understand how differences within different urban environments influence human psychological experience. We developed a laboratory experiment to examine the psychophysiological effects of the physical (outdoor or indoor) and social (crowded versus uncrowded) environment in healthy young adults, and to validate the use of mobile electroencephalography (EEG) and electrodermal activity (EDA) measurements during active walking. Participants (N = 42) were randomly assigned into a walking or a standing group, and watched six 1-min walk-through videos of green, urban indoor and urban outdoor environments, depicting high or low levels of social density. Self-reported emotional states show that green spaces is perceived as more calm and positive, and reduce attentional demands. Further, the outdoor urban space is perceived more positively than the indoor environment. These findings are consistent with earlier studies on the psychological benefits of nature and confirm the effectiveness of our paradigm and stimuli. In addition, we hypothesised that even short-term exposure to crowded scenes would have negative psychological effects. We found that crowded scenes evoked higher self-reported arousal, more negative self-reported valence, and recruited more cognitive and attentional resources. However, in walking participants, they evoked higher frontal alpha asymmetry, suggesting more positive affective responses. Furthermore, we found that using recent signal-processing methods, the EEG data produced a comparable signal-to-noise ratio between walking and standing, and that despite differences between walking and standing, skin-conductance also captured effectively psychophysiological responses to stimuli. These results suggest that emotional responses to visually presented stimuli can be measured effectively using mobile EEG and EDA in ambulatory settings, and that there is complex interaction between active walking, the social density of urban spaces, and direct and indirect affective responses to such environments.

How people with disabilities influence crowd dynamics of pedestrian movement through bottlenecks

Despite considerable research efforts, most controlled empirical studies on crowd movement usually rely on homogeneous crowds, i.e., research participants are typically young adults without disabilities. Consequently, relatively little is known about pedestrian movement in more diverse and heterogeneous crowd conditions, e.g., when persons with reduced mobility are present. This gap may be particularly relevant at bottlenecks, along the path of a moving crowd, that limit the capacity of pedestrian flow. Here, we present results from 12 studies in which participants (total N = 252) with and without visible disabilities moved together in a crowd. In each study, groups of participants walked together in a hallway with a bottleneck at the end. The point of speed adoption, distances between neighbours, and behavioural activities were analysed. We found (1) that participants with disabilities reduced their speed further away from the bottleneck than participants without disabilities; (2) participants without disabilities stayed closer to neighbors with disabilities than to neighbors without disabilities; and (3) participants interacted and communicated with each other to organise in front of the bottleneck. These results underline the importance of studying representative and heterogeneous samples in crowd dynamics. We also argue that more interdisciplinary research is needed to better understand the dynamics of interactions between neighbors in a crowd. A more nuanced understanding of pedestrian dynamics holds the promise of improving the validity of simulation tools such as movement and evacuation models.

How distant? An experimental analysis of students' COVID-19 exposure and physical distancing in university buildings

Closed university buildings proved to be one of the main hot spots for virus transmission during pandemics. As shown during the COVID-19 pandemic, physical distancing is one of the most effective measures to limit such transmission. As universities prepare to manage in-class activities, students' adherence to physical distancing requirements is a priority topic. Unfortunately, while physical distancing in classrooms can be easily managed, the movement of students inside common spaces can pose high risk of close proximity. This paper provides an experimental analysis of unidirectional student movement inside a case-study university building to investigate how physical distancing requirements impact student movement and grouping behaviour. Results show general adherence with the minimum required physical distancing guidance, but spaces such as corridors pose higher risk of exposure than doorways. Doorway width, in combination with group behaviour, affect the students' capacity to keep the recommended physical distance. Furthermore, questionnaire results show that students report higher perceived vulnerability while moving along corridors. Evidence-based results can support decision-makers in understanding individuals' exposure to COVID-19 in universities and researchers in developing behavioural models in preparation of future outbreaks and pandemics.

The interactional production and breach of new norms in the time of COVID-19: Achieving physical distancing in public spaces

A key requirement of COVID-19 pandemic behavioural regulations in many countries was for people to 'physically distance' from one another, which meant departing radically from established norms of everyday human sociality. Previous research on new norms has been retrospective or prospective, focusing on reported levels of adherence to regulations or the intention to do so. In this paper, we take an observational approach to study the embodied and spoken interactional practices through which people produce or breach the new norm. The dataset comprises 20 'self-ethnographic' fieldnotes collected immediately following walks and runs in public spaces between March and September 2020, and these were analysed in the ethnomethodological tradition. We show that and how the new norm emerged through the mutual embodied and spoken conduct of strangers in public spaces. Orientations to the new norm were observed as people torqued their bodies away from each other in situations where there was insufficient space to create physical distance. We also describe how physical distance was produced unilaterally or was aggressively resisted by some people. Finally, we discuss the practical and policy implications of our observations both for deciding what counts as physical distancing and how to support the public to achieve it.

Re-opening live events and large venues after Covid-19 'lockdown': Behavioural risks and their mitigations

This article reviews the behavioural risks and possible mitigations for re-opening large venues for sports and music events when Covid-19 infection rates and hospitalizations begin to decline. We describe the key variables that we suggest will affect public behaviour relevant to the spread of the virus, drawing upon four sources: (1) relevant evidence and recommendations from the Scientific Pandemic Influenza Group on Behaviours produced for the Scientific Advisory Group for Emergencies (SAGE); (2) research evidence from non-pandemic conditions; (3) research on behaviour during the pandemic; and (4) relevant theory. We first outline some basic risks and a framework for understanding collective behaviour at live events. We then survey some trends in UK public behaviour observed over 2020 and how these might interact with the opening of live events and venues. We present a range of mitigation strategies, based on the framework for collective behaviour and on what is known about non-pharmaceutical (i.e. behavioural) interventions in relation to Covid-19.

Social norms, social identities and the COVID-19 pandemic: Theory and recommendations

Sustained mass behaviour change is needed to tackle the COVID-19 pandemic, but many of the required changes run contrary to existing social norms (e.g., physical closeness with in-group members). This paper explains how social norms and social identities are critical to explaining and changing public behaviour. Recommendations are presented for how to harness these social processes to maximise adherence to COVID-19 public health guidance. Specifically, we recommend that public health messages clearly define who the target group is, are framed as identity-affirming rather than identity-contradictory, include complementary injunctive and descriptive social norm information, are delivered by in-group members and that support is provided to enable the public to perform the requested behaviours.

Agent-based simulation of collective cooperation: from experiment to model

Simulation models of pedestrian dynamics have become an invaluable tool for evacuation planning. Typically, crowds are assumed to stream unidirectionally towards a safe area. Simulated agents avoid collisions through mechanisms that belong to each individual, such as being repelled from each other by imaginary forces. But classic locomotion models fail when collective cooperation is called for, notably when an agent, say a first-aid attendant, needs to forge a path through a densely packed group. We present a controlled experiment to observe what happens when humans pass through a dense static crowd. We formulate and test hypotheses on salient phenomena. We discuss our observations in a psychological framework. We derive a model that incorporates: agents’ perception and cognitive processing of a situation that needs cooperation; selection from a portfolio of behaviours, such as being cooperative; and a suitable action, such as swapping places. Agents’ ability to successfully get through a dense crowd emerges as an effect of the psychological model.

Crowds in front of bottlenecks at entrances from the perspective of physics and social psychology

This article presents an interdisciplinary study of physical and social psychological effects on crowd dynamics based on a series of bottleneck experiments. Bottlenecks are of particular interest for applications such as crowd management and design of emergency routes because they limit the performance of a facility. In addition to previous work on the dynamics within the bottleneck, this study focuses on the dynamics in front of the bottleneck, more specifically, at entrances. The experimental set-up simulates an entrance scenario to a concert consisting of an entrance gate (serving as bottleneck) and a corridor formed by barriers. The parameters examined are the corridor width, degree of motivation and priming of the social norm of queuing. The analysis is based on head trajectories and questionnaires. We show that the density of persons per square metre depends on motivation and also increases continuously with increasing corridor width, meaning that a density reduction can be achieved by a reduction of space. In comparison to other corridor widths observed, the narrowest corridor is rated as being fairer, more comfortable and as showing less unfair behaviour. Pushing behaviour is seen as ambivalent: it is rated as unfair and listed as a strategy for faster access.