As more deaf and hard of hearing (DHH) students attend mainstream schools, understanding how physical and social environments can support their social inclusion becomes increasingly critical. Limited access to informal, unstructured peer interactions like those occurring during recess – important contexts for developing a social life at school – is a key challenge. This study makes three main contributions: (1) Synthesizing interdisciplinary research on DHH students' individual capabilities relevant to social participation through a narrative review, framed within school contexts using affordance theory. (2) Developing a novel affordance-based, conceptual framework that shows how DHH students’ opportunities for social participation arise from dynamic interactions between capabilities and school environment. (3) Creating a practical tool to support school evaluation and intervention planning by stakeholders without extensive DHH experience, and guiding future DHH affordance research. Findings demonstrate how DHH sensory, cognitive, and psychological capabilities interact with situational and environmental factors, including built spaces, group dynamics, and stigma. The framework also emphasizes how social experiences can, in turn, shape DHH capabilities over time. Supporting practical implementation, a DHH capability-environment matrix tool was developed, providing a visual means to map affordance relationships and systematically identify school barriers to social interaction. By reframing DHH inclusion through an affordance lens, this work shifts focus from individual limitations to systemic and environmental contributors to exclusion, situating deafness within a broader spectrum of diversity. The paper concludes with implications for advancing affordance research in environmental psychology and outlines directions for further development and evaluation of the matrix in school settings.

Social participation in school, including schoolyard interactions, is considered important for all aspects of child development. Students with disabilities, such as those who are deaf and hard-of-hearing, are at risk of experiencing inaccessibility and social exclusion in mainstream classes, yet this has been hardly researched in the schoolyard context. We exploratively compared preadolescents (M = 10.48, SD =.93) with (N = 8) and without (N = 207) hearing loss in their continuous schoolyard interactions during 21 recess assessments, using proximity sensors and field observations, alongside measurements of peer acceptance, friendships and sense of connectedness, based on peer nominations and self-reports. Deaf and hard-of-hearing preadolescents spent less time interacting in the schoolyard, a trend which was stable throughout recess. Deaf and hard-of-hearing students interacted with the same number of partners as their classmates, but posthoc analyses suggest that towards the end of long recess periods they had a sharper drop in the number of their interaction partners. Field observations suggest that deaf and hard-of-hearing preadolescents who were socially active became more isolated the longer the break lasted, and that physical proximity did not necessarily indicate positive interactions. Findings underscore the importance of using multimethod designs that assess various dimensions of social participation and account for the temporal dynamics of recess interactions. Proximity sensors, combined with qualitative observations, enabled to detect social difficulties not detected by more traditional measures, hence valuable for social inclusion research and interventions.

School-based interventions for socially including autistic pupils in mainstream schools were systematically reviewed. Included interventions targeted at least one level of the school environment: the autistic children, the peers, the staff, and/or the physical environment, and assessed autistic pupils’ quantity and/or quality of social participation as outcome measures. Findings from 56 studies showed increased accessibility of school activities to autistic pupils, but the reciprocity and friendship between the autistic pupils and the peers were not necessarily improved. Moreover, limited interventions were available for modifying the physical environment. A more holistic strategy that moves the focus from individual children’s social skills to the larger context surrounding children, should be considered for a better inclusion of autistic children in school routine.

Detecting and analyzing group behavior from spatio-temporal trajectories is an interesting topic in various domains, such as autonomous driving, urban computing, and social sciences. This paper revisits the group detection problem from spatio-temporal trajectories and proposes “WavenetNRI”, a graph neural network (GNN) based method. The proposed WavenetNRI extends the previously proposed neural relational inference (NRI) method (an unsupervised learning approach for inferring interactions from observational data) in two directions: (1) symmetric edge features and edge updating processes are applied to generate symmetric edge representations corresponding to the symmetric binary group relationships; (2) a gated dilated residual causal convolutional (GD-RCC) block is adopted to capture both short and long dependency of the edge feature sequences. We evaluated the performance of the proposed model on three simulation datasets and three real-world pedestrian datasets, using the Group Mitre metric to measure the quality of the predicted groups. We compared WavenetNRI with four baseline methods, including two clustering-based and two classification-based methods. In these experiments, NRI and WavenetNRI outperformed all other baselines on the group-interaction simulation datasets, while NRI performed slightly better than WavenetNRI. On the pedestrian datasets, the WavenetNRI outperformed other classification-based baselines. However, it did not compete against the clustering-based methods. Our ablation study showed that while both proposed changes cannot be effective at the same time, either of them can improve the performance of the original NRI on one dataset type.

Background: Outdoor social participation in the school playground is crucial for children's socio-emotional and cognitive development. Yet, many children with disabilities in mainstream educational settings are not socially included within their peer group. We examined whether loose-parts-play (LPP), a common and cost-effective intervention that changes the playground play environment to enhance child-led free play, can promote social participation for children with and without disabilities. Method: Forty-two primary school children, out of whom three had hearing loss or autism, were assessed for two baseline and four intervention sessions. We applied a mixed-method design, combining advanced sensors methodology, observations, peer nominations, self-reports, qualitative field notes and an interview with the playground teachers. Results: Findings indicated for all children a decrease during the intervention in social interactions and social play and no change in network centrality. Children without disabilities displayed also an increase in solitude play and in the diversity of interacting partners. Enjoyment of LPP was high for all children, yet children with disabilities did not benefit socially from the intervention and became even more isolated compared with baseline level. Conclusions: Social participation in the schoolyard of children with and without disabilities did not improve during LPP in a mainstream setting. Findings emphasize the need to consider the social needs of children with disabilities when designing playground interventions and to re-think about LPP philosophy and practices to adapt them to inclusive settings and goals.

This position paper outlines a number of key questions concerning BIM (Building Information Modelling), as well as the arguments and the historical background behind them. These include the incomplete theory of BIM, the reasons for the emergence of understanding BIM as a panacea for all ills in AECO (architecture, engineering, construction and operation of buildings), the relation between BIM promise and BIM performance, some of the key misconceptions and misunderstandings concerning BIM, and fundamental concerns about what is assumed to be the future of BIM. The paper concludes by suggesting four themes for further discussion and research into the nature and future of BIM and of AECO computerization in general: BIM theory, implementation, the view from practice and legislation / policies.

The present study aims to infer individuals’ social networks from their spatio-temporal behavior acquired via wearable sensors. Previously proposed static network metrics (e.g., centrality measures) cannot capture the complex temporal patterns in dynamic settings (e.g., children’s play in a schoolyard). Moreover, existing temporal metrics overlook the spatial context of interactions. This study aims first to introduce a novel metric on social networks in which both temporal and spatial aspects of the network are considered to unravel the spatio-temporal dynamics of human behavior. This metric can be used to understand how individuals utilize space to access their network, and how individuals are accessible by their network. We evaluate the proposed method on real data to show how the proposed metric impacts performance of a clustering task. Second, this metric is used to interpret interactions in a real-world dataset collected from children playing in a playground. Moreover, by considering spatial features, this metric provides unique knowledge of the spatio-temporal accessibility of individuals in a community, and more clearly captures pairwise accessibility compared with existing temporal metrics. Thus, it can facilitate domain scientists interested in understanding social behavior in the spatio-temporal context. Furthermore, We make our collected dataset publicly available for further research.

Social connectedness at school is crucial to children's development, yet very little is known about the way it has been affected by school closures during COVID-19 pandemic. We compared pre-post lockdown levels of social connectedness at a school playground in forty-three primary school-aged children, using wearable sensors, observations, peer nominations and self-reports. Upon school reopening, findings from sensors and peer nominations indicated increases in children's interaction time, network diversity and network centrality. Group observations indicated a decrease in no-play social interactions and an increase in children's involvement in social play. Explorative analyses did not reveal relations between changes in peer connectedness and pre-lockdown levels of peer connectedness or social contact during the lockdown period. Findings pointed at the role of recess in contributing to children's social well-being and the importance of attending to their social needs upon reopening.

Social participation at schoolyards is crucial for children’s development. Yet, schoolyard environments contain features that can hinder children’s social participation. In this paper, we empirically examine schoolyards to identify existing obstacles. Traditionally, this type of study requires huge amounts of detailed information about children in a given environment. Collecting such data is exceedingly difficult and expensive. In this study, we present a novel sensor data-driven approach for gathering this information and examining the effect of schoolyard environments on children's behaviours in light of schoolyard affordances and individual effectivities. Sensor data is collected from 150 children at two primary schools, using location trackers, proximity tags, and Multi-Motion receivers to measure locations, face-to-face contacts, and activities. Results show strong potential for this data-driven approach, as it allows collecting data from individuals and their interactions with schoolyard environments, examining the triad of physical, social, and cultural affordances in schoolyards, and identifying factors that significantly impact children's behaviours. Based on this approach, we further obtain better knowledge on the impact of these factors and identify limitations in schoolyard designs, which can inform schools, designers, and policymakers about current problems and practical solutions.