Attachment and borderline personality disorder as the dance unfolds: A quantitative analysis of a novel paradigm.

Current research on personality disorders strives to identify key behavioural and cognitive facets of patient functioning, to unravel the underlying root causes and maintenance mechanisms. This process often involves the application of social paradigms - however, these often only include momentary affective depictions rather than unfolding interactions. This constitutes a limitation in our capacity to probe core symptoms, and leaves potential findings uncovered which could help those who are in close relationships with affected individuals. Here, we deployed a novel task in which subjects interact with four unknown virtual partners in a turn-taking paradigm akin to a dance, and report on their experience with each. The virtual partners embody four combinations of low/high expressivity of positive/negative mood. Higher scores on our symptomatic measures of attachment anxiety, avoidance, and borderline personality disorder (BPD) were all linked to a general negative appraisal of all the interpersonal experiences. Moreover, the negative appraisal of the partner who displayed a high negative/low positive mood was tied with attachment anxiety and BPD symptoms. The extent to which subjects felt responsible for causing partners' distress was most strongly linked to attachment anxiety. Finally, we provide a fully-fledged exploration of move-by-move action latencies and click distances from partners. This analysis underscored slower movement initiation from anxiously attached individuals throughout all virtual interactions. In summary, we describe a novel paradigm for second-person neuroscience, which allowed both the replication of established results and the capture of new behavioural signatures associated with attachment anxiety, and discuss its limitations.

Effects of appearance and gender on pre-touch proxemics in virtual reality.

Virtual reality (VR) environments are increasingly popular for various applications, and the appearance of virtual characters is a critical factor that influences user behaviors. In this study, we aimed to investigate the impact of avatar and agent appearances on pre-touch proxemics in VR. To achieve this goal, we designed experiments utilizing three user avatars (man/woman/robot) and three virtual agents (man/woman/robot). Specifically, we measured the pre-touch reaction distances to the face and body, which are the distances at which a person starts to feel uncomfortable before being touched. We examined how these distances varied based on the appearances of avatars, agents, and user gender. Our results revealed that the appearance of avatars and agents significantly impacted pre-touch reaction distances. Specifically, those using a female avatar tended to maintain larger distances before their face and body to be touched, and people also preferred greater distances before being touched by a robot agent. Interestingly, we observed no effects of user gender on pre-touch reaction distances. These findings have implications for the design and implementation of VR systems, as they suggest that avatar and agent appearances play a significant role in shaping users' perceptions of pre-touch proxemics. Our study highlights the importance of considering these factors when creating immersive and socially acceptable VR experiences.

'Loob' and 'labas': Spatial constructions of safety and risk amid the COVID-19 pandemic in the Philippines.

This article argues that local constructions of risky and safe spaces, as articulated by the notions 'loob' (inside) and 'labas' (outside), informed popular and political responses to the COVID-19 pandemic in the Philippines, leading to an overemphasis on staying at home and, conversely, a general avoidance or fear of outdoor spaces that was at times reinforced by public health authorities. Practices and policies related to the pandemic response rendered this binary opposition between 'loob' and 'labas' visible, from regulations concerning the use of personal protective equipment to restrictions of access to outdoor spaces. While this emergent form of bodily proxemics was contested and negotiated over time, its tenacity throughout the pandemic underscores the importance of understanding how people spatialize risk in times of health crises.

Effects of increased recirculation air rate and aircraft cabin occupancy on passengers' health and well-being - Results from a randomized controlled trial.

BACKGROUND: Aircraft cabins are special environments. Passengers sit in close proximity in a space with low pressure that they cannot leave. The cabin is ventilated with a mixture of outside and recirculated air. The volume of outside air impacts the carbon footprint of flying. Higher recirculation air rates could be considered to save energy and divert less kerosene from producing thrust. OBJECTIVES: To investigate whether higher recirculation air rates in aircraft cabins negatively affect passengers' health and well-being and if occupancy plays a role in this. METHODS: In a 2 (occupancy: full and half-occupied) X 4 (ventilation regime) factorial design with stratified randomization, participants were exposed in an aircraft segment in a low-pressure tube during a 4-h simulated flight. Ventilation regimes consisted of increasing proportions of recirculated air up to a maximum CO2 concentration of 4200 ppm. Participants rated comfort, health symptoms, and sleepiness multiple times. Heart rate (variability), as stress marker, was measured continuously. RESULTS: 559 persons representative of flight passengers regarding age (M = 42.7, SD = 15.9) and sex (283 men) participated. ANCOVA results showed hardly any effect of both factors on self-reported health symptoms, strong main effects of occupancy on comfort measures, and interaction effects for sleepiness and physiological stress parameters: Participants in the half-occupied cabin hardly reacted to increased recirculation air rates and show overall more favorable responses. Participants in the fully occupied cabin reported higher sleepiness and had stress reactions when the recirculation air rate was high. DISCUSSION: This large-scale RCT shows the importance of occupancy, a previously neglected factor in indoor air research. The proximity of other people seems to increase stress and exacerbate reactions to air quality. Further studies on causal pathways are needed to determine if recirculation air rates can be increased to reduce the carbon footprint of flying without detrimental effects on passengers.

Automatic social distance estimation for photographic studies: Performance evaluation, test benchmark, and algorithm.

The social distancing regulations introduced to slow down the spread of COVID-19 virus directly affect a basic form of non-verbal communication, and there may be longer term impacts on human behavior and culture that remain to be analyzed in proxemics studies. To obtain quantitative results for such studies, large media and/or personal photo collections must be analyzed. Several social distance monitoring methods have been proposed for safety purposes, but they are not directly applicable to general photo collections with large variations in the imaging setup. In such studies, the interest shifts from safety to analyzing subtle differences in social distances. Currently, there is no suitable benchmark for developing such algorithms. Collecting images with measured ground-truth pair-wise distances using different camera settings is cumbersome. Moreover, performance evaluation for these algorithms is not straightforward, and there is no widely accepted evaluation protocol. In this paper, we provide an image dataset with measured pair-wise social distances under different camera positions and settings. We suggest a performance evaluation protocol and provide a benchmark to easily evaluate such algorithms. We also propose an automatic social distance estimation method that can be applied on general photo collections. Our method is a hybrid method that combines deep learning-based object detection and human pose estimation with projective geometry. The method can be applied on uncalibrated single images with known focal length and sensor size. The results on our benchmark are encouraging with 91% human detection rate and only 38.24% average relative distance estimation error among the detected people.

A new approach for social group detection based on spatio-temporal interpersonal distance measurement.

Visual-based social group detection aims to cluster pedestrians in crowd scenes according to social interactions and spatio-temporal position relations by using surveillance video data. It is a basic technique for crowd behaviour analysis and group-based activity understanding. According to the theory of proxemics study, the interpersonal relationship between individuals determines the scope of their self-space, while the spatial distance can reflect the closeness degree of their interpersonal relationship. In this paper, we proposed a new unsupervised approach to address the issues of interaction recognition and social group detection in public spaces, which remits the need to intensely label time-consuming training data. First, based on pedestrians' spatio-temporal trajectories, the interpersonal distances among individuals were measured from static and dynamic perspectives. Combined with proxemics' theory, a social interaction recognition scheme was designed to judge whether there is a social interaction between pedestrians. On this basis, the pedestrians are clustered to identify if they form a social group. Extensive experiments on our pedestrian dataset "SCU-VSD-Social" annotated with multi-group labels demonstrated that the proposed method has outstanding performance in both accuracy and complexity.

The effect of robot speed on comfortable passing distances.

Robots navigate ever more often in close proximity to people. In the current work, we focused on two distinctive navigational scenarios: passing and overtaking a person who is walking. In the first experiment, we compared nine different passing distances for a humanoid robot and found that human comfort increased with passing distance and that their relationship could be described by an inverted Gaussian. In the second experiment, we validated this relationship for an industrial autonomous robot and extended the study to also include overtaking distances and different robot moving speeds. The results showed that overtaking was considered to be less comfortable than passing but that the overtaking distance had a similar relationship with human comfort. Human comfort decreases with a higher robot movement speed. Results obtained through location trackers furthermore showed that people actively take a larger distance from the robot when it starts its trajectory closer to them. The current results can be used to quantify human comfort in environments where humans and robots co-exist and they can be used as input for human-aware navigational models for autonomous robots.

Paradoxes of pandemic infection control: Proximity, pace and care within and beyond SARS-CoV-2.

From the adoption of mask-wearing in public settings to the omnipresence of hand-sanitising, the SARS-CoV-2 pandemic has brought unprecedented cultural attention to infection prevention and control (IPC) in everyday life. At the same time, the pandemic threat has enlivened and unsettled hospital IPC processes, fracturing confidence, demanding new forms of evidence, and ultimately involving a rapid reassembling of what constitutes safe care. Here, drawing on semi-structured interviews with 63 frontline healthcare workers from two states in Australia, interviewed between September 2020 and March 2021, we illuminate some of the affective dimensions of IPC at a time of rapid change and evolving uncertainty. We track how a collective sense of risk and safety is relationally produced, redefining attitudes and practices around infective risk, and transforming accepted paradigms of care and self-protection. Drawing on Puig de la Bellacasa's formulation, we propose the notion of IPC as a multidimensional matter of care. Highlighting the complex negotiation of space and time in relation to infection control and care illustrates a series of paradoxes, the understanding of which helps illuminate not only how IPC works, in practice, but also what it means to those working on the frontline of the pandemic.

BE KIND: Negotiating Ethical Proximities in Aotearoa/New Zealand during COVID-19.

Citizens do not merely respond to states of emergency; in democratic societies, they help constitute them. This essay analyzes New Zealanders' engagements in ethical reasoning during the country's first COVID-19 lockdown. Specifically, I examine how we can understand a variety of public responses to emergency measures-including breaching regulations, threatening rule-breakers, sealing off neighborhoods, and recasting citizen-returnees as "strangers"-as negotiations of ethical proximities focused on keeping appropriately close that which is thought should be near, and keeping distanced that deemed best held afar.

PROXEMICS, COVID-19, AND THE ETHICS OF CARE IN SOUTH AFRICA.

In South Africa, lockdown and its excesses have opened up questions on the limits of an ethics of care, whose ethics are privileged, how care is delivered, and what care means. We show how an ethics of proxemics and its operationalization as distance highlight everyday inequalities and limit the provision of care. Constraints on physical distancing in line with public health measures intended to limit the spread of the coronavirus echo the controls enforced under apartheid, showing how inequality is both embodied and legally entrenched.

Impacts of Human Robot Proxemics on Human Concentration-Training Games with Humanoid Robots.

The use of humanoid robots within a therapeutic role, that is, helping individuals with social disorders, is an emerging field, but it remains unexplored in terms of concentration training. To seamlessly integrate humanoid robots into concentration games, an investigation into the impacts of human robot interactive proxemics on concentration-training games is particularly important. In the case of an epidemic diffusion especially-for example, during the COVID-19 pandemic-HRI games may help in the therapeutic phase, significantly reducing the risk of contagion. In this paper, concentration games were designed by action imitation involving 120 participants to verify the hypothesis. Action-imitation accuracy, the assessment of emotional expression, and a questionnaire were compared with analysis of variance (ANOVA). Experimental results showed that a 2 m distance and left-front orientation for a human and a robot are optimal for human robot interactive concentration training. In addition, females worked better than males did in HRI imitation games. This work supports some valuable suggestions for the development of HRI concentration-training technology, involving the designs of friendlier and more useful robots, and HRI game scenarios.

The influence of the built environment in enacting a household model of residential aged care for people living with a mental health condition: A qualitative post-occupancy evaluation.

This study undertakes a spatial analysis of an Australian aged care setting where residents receive person-centred support in a specially-designed home-like environment. Focus groups were conducted with staff to explore the impact of the built environment in a new residential aged care setting that has implemented a Household Model of care for people living with mental health conditions. Drawing on Actor-Network Theory and proxemics, we mapped how the built environment supports improved behaviours and care practices in four areas: food preparation and dining, sleep and self-care, site layout, and relationships.

An Approach of Social Navigation Based on Proxemics for Crowded Environments of Humans and Robots.

Nowadays, mobile robots are playing an important role in different areas of science, industry, academia and even in everyday life. In this sense, their abilities and behaviours become increasingly complex. In particular, in indoor environments, such as hospitals, schools, banks and museums, where the robot coincides with people and other robots, its movement and navigation must be programmed and adapted to robot-robot and human-robot interactions. However, existing approaches are focused either on multi-robot navigation (robot-robot interaction) or social navigation with human presence (human-robot interaction), neglecting the integration of both approaches. Proxemic interaction is recently being used in this domain of research, to improve Human-Robot Interaction (HRI). In this context, we propose an autonomous navigation approach for mobile robots in indoor environments, based on the principles of proxemic theory, integrated with classical navigation algorithms, such as ORCA, Social Momentum, and A*. With this novel approach, the mobile robot adapts its behaviour, by analysing the proximity of people to each other, with respect to it, and with respect to other robots to decide and plan its respective navigation, while showing acceptable social behaviours in presence of humans. We describe our proposed approach and show how proxemics and the classical navigation algorithms are combined to provide an effective navigation, while respecting social human distances. To show the suitability of our approach, we simulate several situations of coexistence of robots and humans, demonstrating an effective social navigation.

Pose Generation for Social Robots in Conversational Group Formations.

We study two approaches for predicting an appropriate pose for a robot to take part in group formations typical of social human conversations subject to the physical layout of the surrounding environment. One method is model-based and explicitly encodes key geometric aspects of conversational formations. The other method is data-driven. It implicitly models key properties of spatial arrangements using graph neural networks and an adversarial training regimen. We evaluate the proposed approaches through quantitative metrics designed for this problem domain and via a human experiment. Our results suggest that the proposed methods are effective at reasoning about the environment layout and conversational group formations. They can also be used repeatedly to simulate conversational spatial arrangements despite being designed to output a single pose at a time. However, the methods showed different strengths. For example, the geometric approach was more successful at avoiding poses generated in nonfree areas of the environment, but the data-driven method was better at capturing the variability of conversational spatial formations. We discuss ways to address open challenges for the pose generation problem and other interesting avenues for future work.

Accessing Passersby Proxemic Signals through a Head-Worn Camera: Opportunities and Limitations for the Blind.

The spatial behavior of passersby can be critical to blind individuals to initiate interactions, preserve personal space, or practice social distancing during a pandemic. Among other use cases, wearable cameras employing computer vision can be used to extract proxemic signals of others and thus increase access to the spatial behavior of passersby for blind people. Analyzing data collected in a study with blind (N=10) and sighted (N=40) participants, we explore: (i) visual information on approaching passersby captured by a head-worn camera; (ii) pedestrian detection algorithms for extracting proxemic signals such as passerby presence, relative position, distance, and head pose; and (iii) opportunities and limitations of using wearable cameras for helping blind people access proxemics related to nearby people. Our observations and findings provide insights into dyadic behaviors for assistive pedestrian detection and lead to implications for the design of future head-worn cameras and interactions.

Proxémica y comunicación no verbal en la interacción en sala de clase / Proxêmica e comunicação não verbal na interação em sala de aula / Proxemic and nonverbal communication in classroom interaction

Este artigo relata um estudo realizado sobre a interação professor-aluno em uma escola pública dos anos iniciais, na cidade de Santiago, Chile. O estudo realizou uma análise quantitativa dos quadros das imagens capturadas por uma minicâmera montada em óculos de um grupo de 18 estudantes. Os quadros selecionados foram os que a professora aparece no campo visual dos alunos. A análise foi desenvolvida a partir do conceito de proxêmica e os resultados mostram que há momentos em que a professora da sala de aula interage com os alunos em um nível mais próximo e, em outros, há um distanciamento maior. Além disso, foi possível identificar diferenças entre meninos e meninas quanto aos padrões proxêmicos de envolvimento visual na interação. Os resultados deste estudo sinalizam novos sentidos para a análise da interação professor-aluno com foco em aspectos não verbais na construção das relações de ensino e aprendizagem.

En este artículo se relata un estudio realizado sobre la interacción profesor-alumno en una escuela pública de los años iniciales, en la ciudad de Santiago, Chile. En el estudio se realizó un análisis cuantitativo de los cuadros de las imágenes capturadas por una minicámara montada en gafas de un grupo de 18 estudiantes. Los cuadros seleccionados fueron los que la profesora aparece en el campo visual de los alumnos. El análisis se desarrolló a partir del concepto de proxémica y los resultados apuntan que hay momentos en que la profesora de la sala de clase interactúa con los alumnos en un nivel más cercano, en otros, hay un alejamiento mayor. Además de eso, fue posible identificar diferencias entre niños y niñas cuanto a los patrones proxémicos de involucramiento visual en la interacción. Los resultados de este estudio señalizan nuevos sentidos para el análisis de la interacción profesor-alumno con enfoque en aspectos no verbales en la construcción de las relaciones de enseñanza y aprendizaje.

This article reports a study carried out about teacher-student interaction in a public school in the early years, in the city of Santiago, Chile. The study performed a quantitative analysis of the frames of images captured by a mini camera mounted on eyeglasses of a group of 18 students. The selected frames were those that the teacher appears in the students' visual field. The analysis was developed from the concept of proxemics and the results show that there are times when the classroom teacher interacts with students at a closer level and, in others, there is a greater distance. Furthermore, it was possible to identify differences between boys and girls regarding the proxemic patterns of visual involvement in the interaction. The results of this study indicate new directions for the analysis of teacher-student interaction, focusing on non-verbal aspects in the construction of teaching and learning relationships.

Unobtrusive tracking of interpersonal orienting and distance predicts the subjective quality of social interactions.

Interpersonal coordination of behaviour is essential for smooth social interactions. Measures of interpersonal behaviour, however, often rely on subjective evaluations, invasive measurement techniques or gross measures of motion. Here, we constructed an unobtrusive motion tracking system that enables detailed analysis of behaviour at the individual and interpersonal levels, which we validated using wearable sensors. We evaluate dyadic measures of joint orienting and distancing, synchrony and gaze behaviours to summarize data collected during natural conversation and joint action tasks. Our results demonstrate that patterns of proxemic behaviours, rather than more widely used measures of interpersonal synchrony, best predicted the subjective quality of the interactions. Increased distance between participants predicted lower enjoyment, while increased joint orienting towards each other during cooperation correlated with increased effort reported by the participants. Importantly, the interpersonal distance was most informative of the quality of interaction when task demands and experimental control were minimal. These results suggest that interpersonal measures of behaviour gathered during minimally constrained social interactions are particularly sensitive for the subjective quality of social interactions and may be useful for interaction-based phenotyping for further studies.

Interpersonal Distance in the SARS-CoV-2 Crisis.

BACKGROUND: Mandatory rules for social distancing to curb the SARS-CoV-2 pandemic require individuals to maintain a critical interpersonal distance above 1.5 m. However, this contradicts our natural preference, which is closer to 1 m for non-intimate encounters, for example, when asking a stranger for directions. OBJECTIVE: This review addresses how humans typically regulate interpersonal distances, in order to highlight the challenges of enforcing atypically large interpersonal distances. METHOD: To understand the challenges posed by social distancing requirements, we integrate relevant contributions from visual perception, social perception, and human factors. RESULTS: To date, research on preferred interpersonal distances suggests that social distancing could induce discomfort, heighten arousal, and decrease social signaling in the short term. While the protracted effects of social distancing are unclear, we propose hypotheses on the mid- to long-term consequences of violating preferred norms of interpersonal distances. CONCLUSION: We suggest that enforcing a physical distance of 1.5-2 m presents a serious challenge to behavioral norms. APPLICATION: We address how notifications, architectural design, and visualizations could be effectively applied to promote interpersonal distance requirements.

The Influence of Distance and Lateral Offset of Follow Me Robots on User Perception.

Robots that are designed to work in close proximity to humans are required to move and act in a way that ensures social acceptance by their users. Hence, a robot's proximal behavior toward a human is a main concern, especially in human-robot interaction that relies on relatively close proximity. This study investigated how the distance and lateral offset of "Follow Me" robots influences how they are perceived by humans. To this end, a Follow Me robot was built and tested in a user study for a number of subjective variables. A total of 18 participants interacted with the robot, with the robot's lateral offset and distance varied in a within-subject design. After each interaction, participants were asked to rate the movement of the robot on the dimensions of comfort, expectancy conformity, human likeness, safety, trust, and unobtrusiveness. Results show that users generally prefer robot following distances in the social space, without a lateral offset. However, we found a main influence of affinity for technology, as those participants with a high affinity for technology preferred closer following distances than participants with low affinity for technology. The results of this study show the importance of user-adaptiveness in human-robot-interaction.

Social Navigation in a Cognitive Architecture Using Dynamic Proxemic Zones.

Robots have begun to populate the everyday environments of human beings. These social robots must perform their tasks without disturbing the people with whom they share their environment. This paper proposes a navigation algorithm for robots that is acceptable to people. Robots will detect the personal areas of humans, to carry out their tasks, generating navigation routes that have less impact on human activities. The main novelty of this work is that the robot will perceive the moods of people to adjust the size of proxemic areas. This work will contribute to making the presence of robots in human-populated environments more acceptable. As a result, we have integrated this approach into a cognitive architecture designed to perform tasks in human-populated environments. The paper provides quantitative experimental results in two scenarios: controlled, including social navigation metrics in comparison with a traditional navigation method, and non-controlled, in robotic competitions where different studies of social robotics are measured.