Aligned bodies, united hearts: embodied emotional dynamics of an Islamic ritual.

Collective rituals involve the coordination of intentions and actions and have been shown to promote the alignment of emotional states and social identities. However, the mechanics of achieving group-level synchrony is yet unclear. We report the results of a naturalistic study in the context of an Islamic congregational prayer that involves synchronous movement. We used wearable devices to capture data on body posture, autonomic responses and spatial proximity to investigate how postural alignment and shared arousal intertwine during this ritual. The findings reveal a dual process at play: postural alignment appears to be more localized, with worshippers synchronizing their movements with their nearest neighbours, while physiological alignment operates on a broader scale, primarily driven by the central role of the religious leader. Our findings underscore the importance of interpersonal dynamics in collective gatherings and the role of physical co-presence in fostering connections among participants, with implications extending to our understanding of group dynamics across various social settings.This article is part of the theme issue 'Minds in movement: embodied cognition in the age of artificial intelligence'.

Grounding social timing: A commentary on "The evolution of social timing" by Verga et al. (2023).

We are excited about Verga et al.'s [22] exhortation to look beyond humans to understand the purpose, scope, and evolution of social timing. We argue that the field should expand even further. We first point out the enabling role of the spatial environment, which constrains social interaction and in which social interaction is embedded. Second, we argue that a full appreciation of the emergence of social timing must include a focus on physical prerequisites of interactive systems, exemplified by studies of dissipative structures more broadly. By situating interacting systems-whether biological or not-within their shared dynamic environment, we can more clearly and more fully understand social timing.

The Dynamical Hypothesis in Situ: Challenges and Opportunities for a Dynamical Social Approach to Interpersonal Coordination.

Over the past three decades, Van Gelder's dynamical hypothesis has been instrumental in reconceptualizing the ways in which perception-action-cognition unfolds over time and in context. Here, I examine how the dynamical approach has enriched the theoretical understanding of social dynamics within cognitive science, with a particular focus on interpersonal coordination. I frame this review around seven principles in dynamical systems: three that are well-represented in interpersonal coordination research to date (emergent behavior, context-sensitive behavior, and attractors) and four that could be useful opportunities for future growth (hysteresis, sensitivity to initial conditions, equifinality, and reciprocal compensation). In addition to identifying specific promising lines of theoretical inquiry, I focus on the significant potential afforded by computationally intensive science-especially in naturally occurring data or trace data. Building on the foundation laid over the past three decades, I argue that looking to increasingly situated and naturalistic settings (and data) is not only necessary to realize the full commitment to the dynamical hypothesis but is also critical to building parsimonious and principled theories of social phenomena.

Stage 2: Visual information and communication context as modulators of interpersonal coordination in face-to-face and videoconference-based interactions.

Interpersonal coordination of body movement-or similarity in patterning and timing of body movement between interaction partners-is well documented in face-to-face (FTF) conversation. Here, we investigated the degree to which interpersonal coordination is impacted by the amount of visual information available and the type of interaction conversation partners are having. To do so within a naturalistic context, we took advantage of the increased familiarity with videoconferencing (VC) platforms and with limited visual information in FTF conversation due to the COVID-19 pandemic. Pairs of participants communicated in one of three ways: FTF in a laboratory setting while socially distanced and wearing face masks; VC in a laboratory setting with a view of one another's full movements; or VC in a remote setting with a view of one another's face and shoulders. Each pair held three conversations: affiliative, argumentative, and cooperative task-based. We quantified interpersonal coordination as the relationship between the two participants' overall body movement using nonlinear time series analyses. Coordination changed as a function of the contextual constraints, and these constraints interacted with coordination patterns to affect subjective conversation outcomes. Importantly, we found patterns of results that were distinct from previous research; we hypothesize that these differences may be due to changes in the broader social context from COVID-19. Taken together, our results are consistent with a dynamical systems view of social phenomena, with interpersonal coordination emerging from the interaction between components, constraints, and history of the system.

Multidimensional recurrence quantification analysis of human-metronome phasing.

Perception-action coordination (also known as sensorimotor synchronization, SMS) is often studied by analyzing motor coordination with auditory rhythms. The current study assesses phasing-a compositional technique in which two people tap the same rhythm at varying phases by adjusting tempi-to explore how SMS is impacted by individual and situational factors. After practice trials, participants engaged in the experimental phasing task with a metronome at tempi ranging from 80-140 beats per minute (bpm). Multidimensional recurrence quantification analysis (MdRQA) was used to compare nonlinear dynamics of phasing performance. Varying coupling patterns emerged and were significantly predicted by tempo and linguistic experience. Participants who successfully phased replicated findings from an original case study, demonstrating stable tapping patterns near in-phase and antiphase, while those unsuccessful at phasing showed weaker attraction to in-phase and antiphase.

Toward a dynamic approach of person perception at zero acquaintance: Applying recurrence quantification analysis to thin slices.

Thin-slice methodology has provided us with abundant behavioral streams that self-reported measures would fail to capture, but traditional analytical paradigms in social and personality psychology cannot fully capture the temporal trajectories of person perception at zero acquaintance. At the same time, empirical investigations into how persons and situations jointly predict behavior enacted in situ are scarce, despite the importance of examining real-world behavior to understand any phenomenon of interest. To complement existing theoretical models and analyses, we propose the dynamic latent state-trait model blending dynamical systems theory and person perception. We present a data-driven case study using thin-slice methodology to demonstrate the model. This study provides direct empirical support for the proposed theoretical model on person perception at zero acquaintance highlighting the target, the perceiver, the situation, and time. The results of the study demonstrate that dynamical systems theory approaches can be leveraged to provide information about person perception at zero acquaintance above and beyond that of more traditional approaches. CLASSIFICATION CODE: 3040 (Social Perception & Cognition).

Say that again: Quantifying patterns of production for children with autism using recurrence analysis.

The current research study characterized syntactic productivity across a range of 5-year-old children with autism and explored the degree to which this productivity was associated with standardized measures of language and autism symptomatology. Natural language samples were transcribed from play-based interactions between a clinician and participants with an autism diagnosis. Speech samples were parsed for grammatical morphemes and were used to generate measures of MLU and total number of utterances. We applied categorical recurrence quantification analysis, a technique used to quantify patterns of repetition in behaviors, to the children's noun-related and verb-related speech. Recurrence metrics captured the degree to which children repeated specific lexical/grammatical units (i.e., recurrence rate) and the degree to which children repeated combinations of lexical/grammatical units (i.e., percent determinism). Findings indicated that beyond capturing patterns shown in traditional linguistic analysis, recurrence can reveal differences in the speech productions of children with autism spectrum disorder at the lexical and grammatical levels. We also found that the degree of repeating noun-related units and grammatical units was related to MLU and ADOS Severity Score, while the degree of repeating unit combinations (e.g., saying "the big fluffy dog" or the determiner-adjective-adjective-noun construction multiple times), in general, was only related to MLU.

Community, Time, and (Con)text: A Dynamical Systems Analysis of Online Communication and Community Health among Open-Source Software Communities.

Free and open-source software projects have become essential digital infrastructure over the past decade. These projects are largely created and maintained by unpaid volunteers, presenting a potential vulnerability if the projects cannot recruit and retain new volunteers. At the same time, their development on open collaborative development platforms provides a nearly complete record of the community's interactions; this affords the opportunity to study naturally occurring language dynamics at scale and in a context with massive real-world impact. The present work takes a dynamical systems view of language to understand the ways in which communicative context and community membership shape the emergence and impact of language use-specifically, sentiment and expressions of gratitude. We then present evidence that these language dynamics shape newcomers' likelihood of returning, although the specific impacts of different community responses are crucially modulated by the context of the newcomer's first contact with the community.

Visual information and communication context as modulators of interpersonal coordination in face-to-face and videoconference-based interactions.

Interpersonal coordination of body movement-or the similarity in patterning and timing of body movement between interaction partners over time-is a well-documented phenomenon in face-to-face (FTF) conversation. The present study will investigate the degree to which interpersonal coordination is impacted by the amount of visual information available and the type of interaction conversation partners are having. To do so within a naturalistic context, we take advantage of changes induced by the 2020 COVID-19 pandemic. The pandemic has changed communication, with mitigation efforts having forced nearly everyone to engage over videoconferencing (VC) platforms (which limit body visibility but not face visibility) or to meet FTF with public health constraints (which limit face visibility but not body visibility). We will ask 69 pairs of participants to communicate in one of three ways: (1) socially distanced FTF while wearing masks; (2) VC in a laboratory where each partner will see one another's full torso; or (3) VC in a remote setting where each partner will see only one another's face and shoulders. Each pair will hold three conversations: (a) affiliative, (b) argumentative, and (c) task-based. We will quantify interpersonal coordination by extracting overall amounts of movement from videos of the participants using well-validated computer vision methods and then calculating the relationship between the two participants' movement using nonlinear time series analyses. In doing so, we will be able to identify the degree to which visual information and conversational context shape the emergence of interpersonal coordination within now-naturalistic modes of interaction.

Online social cohesion reflects real-world group action in Syria during the Arab Spring.

In recent years, political activists have taken to social media platforms to rapidly reach broad audiences. Despite the prevalence of micro-blogging in these sociopolitical movements, the degree to which virtual mobilization reflects or drives real-world movements is unclear. Here, we explore the dynamics of real-world events and Twitter social cohesion in Syria during the Arab Spring. Using the nonlinear methods cross-recurrence quantification analysis and windowed cross-recurrence quantification analysis, we investigate if frequency of events of different intensities are coupled with social cohesion found in Syrian tweets. Results indicate that online social cohesion is coupled with the counts of all, positive, and negative events each day but shows a decreased connection to negative events when outwardly directed events (i.e., source events) were considered. We conclude with a discussion of implications and applications of nonlinear methods in political science research.