Purpose Virus epidemics may be mitigated if people comply with directives to stay at home and keep their distance from strangers in public. As such, there is a public health interest in social distancing compliance. The available evidence on distancing practices in public space is limited, however, by the lack of observational data. Here, we apply video observation as a method to examine to what extent members of the public comply with social distancing directives. Data Closed Circuit Television (CCTV) footage of interactions in public was collected in inner-city Amsterdam, the Netherlands. From the footage, we observed instances of people violating the 1.5-meter distance directives in the weeks before, during, and after these directives were introduced to mitigate the COVID-19 pandemic. Results We find that people complied with the 1.5-meter distance directives when these directives were first introduced, but that the level of compliance started to decline soon after. We also find that violation of the 1.5-meter distance directives is strongly associated with the number of people observed on the street and with non-compliance to stay-at-home directives, operationalized with large-scale aggregated location data from cell phones. All three measures correlate to a varying extent with temporal patterns in the transmission of the COVID-19 virus, temperature, COVID-19 related Google search queries, and media attention to the topic. Conclusion Compliance with 1.5 meter distance directives is short-lived and coincides with the number of people on the street and with compliance to stay-at-home directives. Potential implications of these findings are that keep- distance directives may work best in combination with stay-at-home directives and place-specific crowd-control strategies, and that the number of people on the street and community-wide mobility as captured with cell phone data offer easily measurable proxies for the extent to which people keep sufficient physical distance from others at specific times and locations.

Half a century of research on bystander behavior concludes that individuals are less likely to intervene during an emergency when in the presence of others than when alone. By contrast, little is known regarding the aggregated likelihood that at least someone present at an emergency will do something to help. The importance of establishing this aggregated intervention baseline is not only of scholarly interest but is also the most pressing question for actual public victims-will I receive help if needed? The current article describes the largest systematic study of real-life bystander intervention in actual public conflicts captured by surveillance cameras. Using a unique cross-national video dataset from the United Kingdom, the Netherlands, and South Africa (N = 219), we show that in 9 of 10 public conflicts, at least 1 bystander, but typically several, will do something to help. We record similar likelihoods of intervention across the 3 national contexts, which differ greatly in levels of perceived public safety. Finally, we find that increased bystander presence is related to a greater likelihood that someone will intervene. Taken together these findings allay the widespread fear that bystanders rarely intervene to help. We argue that it is time for psychology to change the narrative away from an absence of help and toward a new understanding of what makes intervention successful or unsuccessful.

Night-time economy (NTE) leisure zones, while providing local economic growth and positive social experiences, are hotspots for urban public violence. Research aimed at better understanding and thus reducing this violence has employed a range of empirical methods: official records, self-reports, experiments, and observational techniques. In this paper, we review the applications of these methodologies for analyzing NTE violence on key research dimensions, including mapping incidents across time and space; interpreting the motivations and meaning of violence; identifying social psychological background variables and health consequences; and the ability to examine mid-violent interactions. Further, we assess each method in terms of reliability, validity, and the potential for establishing causal claims. We demonstrate that there are fewer and less established methodologies available for examining the interactional dynamics of NTE violence. Using real-life NTE bystander intervention as a case example, we argue that video-based behavioral analysis is a promising method to address this gap. Given the infancy and relative lack of exposure of the video observational method, we provide recommendations for scholars interested in adopting this technique.

Objectives: Bystander studies have rarely considered the victimization risk associated with intervention into violent, dangerous emergencies. To address this gap, we aim to identify factors that influence bystanders' risk of being physically victimized. Methods:We observed bystander behavior from video surveillance footage of naturally occurring violence in night-time economy settings, and data was analyzed with a logistic regression model. Results: Data shows that approximately one out of six interventions results in some type of victimization, typically with a relatively low degree of severity. The bystander's social group membership, the setting of the emergency, and the bystander's intervention type are estimated as risk factors for victimization. Conclusions: Previous research suggests that a bystander's social group membership with victims promotes intervention behavior. Our results expand the role of social group membership as being a factor that also influences whether the intervening bystander is victimized.

Post-aggression consolation is assumed to occur in humans as well as in chimpanzees. While consolation following peer aggression has been observed in children, systematic evidence of consolation in human adults is rare. We used surveillance camera footage of the immediate aftermath of nonfatal robberies to observe the behaviors and characteristics of victims and bystanders. Consistent with empathy explanations, we found that consolation was linked to social closeness rather than physical closeness. While females were more likely to console than males, males and females were equally likely to be consoled. Furthermore, we show that high levels of threat during the robbery increased the likelihood of receiving consolation afterwards. These patterns resemble post-aggression consolation in chimpanzees and suggest that emotions of empathic concern are involved in consolation across humans and chimpanzees.

Stress during childhood can have mental and somatic health influences that track throughout life. Previous research attributes stress-reducing effects to natural environments, but has mainly focused on adults and often following leisurely relaxation in natural environments. This pilot study explores the impact of natural environments on stress response during rest and mental load and cognitive performance in 47 children aged 10–12 years in a school context. Heart rate variability measures indexing tonic, event, and phasic vagal tone and attention scores were compared across classroom and natural environments. Tonic vagal tone was higher in the natural environment than the classrooms, but no differences were found in event or phasic vagal tone or cognitive performance measures. These findings suggest a situational aspect of the conditions under which natural environments may give rise to stress-buffering influences. Further research is warranted to understand the potential benefits in a real-life context, in particular with respect to the underpinning mechanisms and effects of accumulated exposure over time in settings where children spend large proportions of time in natural environments.

Half a century of research on bystander behavior concludes that individuals are less likely to intervene during an emergency when in the presence of others than when alone. By contrast, little is known regarding the aggregated likelihood that at least someone present at an emergency will do something to help. The importance of establishing this aggregated intervention baseline is not only of scholarly interest, but is also the most pressing question for actual public victims-will I receive help if needed? The current paper describes the largest systematic study of real-life bystander intervention in actual public conflicts captured by surveillance cameras. Using a unique cross-national video dataset from the United Kingdom, Netherlands, and South Africa (N = 219), we show that in nine-out-often public conflicts, at least one bystander, but typically several, will do something to help. We record similar likelihoods of intervention across the three national contexts, which differ greatly in levels of recorded violent crime. Finally, we find that increased bystander presence is related to a greater likelihood that someone will intervene. Taken together these findings allay the widespread fear that bystanders rarely intervene to help. We argue that it is time for psychology to change the narrative away from an absence of help and towards a new understanding of what makes intervention successful or unsuccessful.

Are individuals willing to intervene in public violence? Half a century of research on the “bystander effect” suggests that the more bystanders present at an emergency, the less likely each of them is to provide help. However, recent meta‐analytical evidence questions whether this effect generalizes to violent emergencies. Besides the number of bystanders present, an alternative line of research suggests that pre‐existing social relations between bystanders and conflict participants are important for explaining whether bystanders provide help. The current paper offers a rare comparison of both factors—social relations and the number of bystanders present—as predictors of bystander intervention in real‐life violent emergencies. We systematically observed the behavior of 764 bystanders across 81 violent incidents recorded by surveillance cameras in Copenhagen, Denmark. Bystanders were sampled with a case–control design, their behavior was observed and coded, and the probability of intervention was estimated with multilevel regression analyses. The results confirm our predicted association between social relations and intervention. However, rather than the expected reversed bystander effect, we found a classical bystander effect, as bystanders were less likely to intervene with increasing bystander presence. The effect of social relations on intervention was larger in magnitude than the effect of the number of bystanders. We assess these findings in light of recent discussions about the influence of group size and social relations in human helping. Further, we discuss the utility of video data for the assessment of real‐life bystander behavior.