Dyadic Interactions Research Articles

Positive emotions foster spontaneous synchronisation in a group movement improvisation task.

Emotions are a natural vector for acting together with others and are witnessed in human behaviour, perception and body functions. For this reason, studies of human-to-human interaction, such as multi-person motor synchronisation, are a perfect setting to disentangle the linkage of emotion with socio-motor interaction. And yet, the majority of joint action studies aiming at understanding the impact of emotions on multi-person performance resort to enacted emotions, the ones that are emulated based on the previous experience of such emotions, and almost exclusively focus on dyadic interaction. In addition, tasks chosen to study emotion in joint action are frequently characterised by a reduced number of physical dimensions to gain experimental control and subsequent facilitation in data analysis. Therefore, it is not clear how naturalistically induced emotions diffuse in more ecological interactions with other people and how emotions affect the process of interpersonal synchronisation. Here, we show that positive and negative emotions differently alter spontaneous human synchronous behaviour during a multi-person improvisation task. The study involved 39 participants organised in triads who self-reported liking improvisational activities (e.g., dancing). The task involved producing improvisational movements with the right hand. Participants were emotionally induced by manipulated social feedback involving a personal ranking score. Three-dimensional spatio-temporal data and cardiac activity were extracted and transformed into oscillatory signals (phases) to compute behavioural and physiological synchrony. Our results demonstrate that individuals induced with positive emotions, as opposed to negative emotions or a neutral state, maintained behavioural synchrony with other group members for a longer period of time. These findings contribute to the emerging shift of neuroscience of emotion and affective sciences towards the environment of social significance where emotions appear the most—in interaction with others. Our study showcases a method of quantification of synchrony in an improvisational and interactive task based on a well-established Kuramoto model.

Precuneus brain response changes differently during human–robot and human–human dyadic social interaction

Human–human interactions (HHI) and human–robot interactions (HRI) are compared to identify differences between cognitive processes reflecting bonding in social interactions with natural and artificial agents. We capitalize on a unique corpus of neuroimaging data (fMRI) recorded while participants freely discussed with another human or a conversational robotic head, in order to study a crucial parameter of human social cognition, namely that social interactions are adaptive bidirectional processes that evolve over time. We used linear statistics to identify regions of the brain where activity changes differently when participants carry out twelve one-minute conversations, alternating between a human and a robotic interlocutor. Results show that activity in the posterior cingulate cortex, a key region associated with social cognition, increases over time in HHI but not in HRI. These results are interpreted as reflecting a process of strengthening social bonding during repeated exchanges when the interacting agent is a human, but not a robot.

Eavesdropping on conspecific alarm calls links birds across territory borders into a population-wide information network

Animal communication, including the transmission of risk-related information, has long been recognized as occurring in a network, rather than being limited to signaller–receiver dyadic interactions. However, it is rare for studies on communication to explicitly incorporate a network approach and for network studies to focus on communication interactions and information transmission in nongrouping species. Consequently, the properties of communication networks and the extent to which risk-related information can spread through populations of territorial animals remain largely unexplored. Here, I examined the structure and spatial extent of eavesdropping networks by studying alarm calls in wood warblers, Phylloscopus sibilatrix, small, territorial songbirds inhabiting temperate European forests. Using a playback experiment, I first established the active space of wood warblers' alarm signals, that is, how the strength of antipredator responses to conspecific alarm calls varies as a function of distance between signallers and receivers. Next, I combined social network analysis and fine-scale, long-term data on wood warblers' territory distribution to delineate spatially explicit alarm call eavesdropping networks and to explore the potential for risk-related information transmission at the population level. Response strength of wood warblers to conspecific calls decreased with increasing distance to callers, suggesting distance-dependent eavesdropping. However, each year the majority of individuals occupied territories within the active space of alarm signals of multiple neighbours and could reach information from even more of them via indirect links. Moreover, the patterns of connections between individuals were generally similar across years, suggesting that basic network properties remain stable over time. This study shows that during the spring breeding season, individual birds are interlinked with conspecifics across territory borders into population-wide information webs, in which risk-related information can readily spread across large spatial scales. In turn, this highlights the social environment as an important dimension of individuals’ niches even in otherwise territorial animals.

Reaction Time “Mismatch Costs” Change with the Likelihood of Stimulus–Response Compatibility

Dyadic interactions require dynamic correspondence between one’s own movements and those of the other agent. This mapping is largely viewed as imitative, with the behavioural hallmark being a reaction-time cost for mismatched actions. Yet the complex motor patterns humans enact together extend beyond direct-matching, varying adaptively between imitation, complementary movements, and counter-imitation. Optimal behaviour requires an agent to predict not only what is likely to be observed but also how that observed action will relate to their own motor planning. In 28 healthy adults, we examined imitation and counter-imitation in a task that varied the likelihood of stimulus–response congruence from highly predictable, to moderately predictable, to unpredictable. To gain mechanistic insights into the statistical learning of stimulus–response compatibility, we compared two computational models of behaviour: (1) a classic fixed learning-rate model (Rescorla–Wagner reinforcement [RW]) and (2) a hierarchical model of perceptual-behavioural processes in which the learning rate adapts to the inferred environmental volatility (hierarchical Gaussian filter [HGF]). Though more complex and hence penalized by model selection, the HGF provided a more likely model of the participants’ behaviour. Matching motor responses were only primed (faster) in the most experimentally volatile context. This bias was reversed so that mismatched actions were primed when beliefs about volatility were lower. Inferential statistics indicated that matching responses were only primed in unpredictable contexts when stimuli–response congruence was at 50:50 chance. Outside of these unpredictable blocks the classic stimulus–response compatibility effect was reversed: Incongruent responses were faster than congruent ones. We show that hierarchical Bayesian learning of environmental statistics may underlie response priming during dyadic interactions.

Automatically detecting task-unrelated thoughts during conversations using keystroke analysis.

Task-unrelated thought (TUT), commonly referred to as mind wandering, is a mental state where a person’s attention moves away from the task-at-hand. This state is extremely common, yet not much is known about how to measure it, especially during dyadic interactions. We thus built a model to detect when a person experiences TUTs while talking to another person through a computer-mediated conversation, using their keystroke patterns. The best model was able to differentiate between task-unrelated thoughts and task-related thoughts with a kappa of 0.363, using features extracted from a 15 second window. We also present a feature analysis to provide additional insights into how various typing behaviors can be linked to our ongoing mental states.

Engagement estimation of the elderly from wild multiparty human–robot interaction

AbstractThe use of social robots in healthcare systems or nursing homes to assist the elderly and their caregivers will be becoming common, where robots' understanding of engagement of the elderly is important. Traditional engagement estimation (EE) often requires expert involvement in a controlled dyadic interaction environment. In this article, we propose a supervised machine learning method to estimate the engagement state of the elderly in a multiparty human–robot interaction (HRI) scenario from the real‐world video recording as input. The method is built upon the basic concept of engagement in geriatric psychiatry and HRI video representations. It adapts pretrained models to extract behavior, affective, and visual signals to form the multi‐modal features. These features are then fed into a neural network made of a self‐attention mechanism and average pooling for individual learning, a graph attention network for group learning and a fully connected layer to estimate the engagement. We tested the proposed method using 43 wild multiparty elderly robot interaction (ERI) videos. The experimental results show that our method is capable of detecting the key participants and estimating the engagement state of the elderly effectively. Also our study demonstrates the signals from side‐participants in the main interaction group considerably contribute to the EE of the elderly in the multiparty ERI.

The building blocks of a supply chain management theory: Using factor market rivalry for supply chain theorizing

AbstractAs the supply chain discipline matures, opportunities emerge to develop or define theories that are specific to supply chain phenomenon. The current research specifies characteristics that we offer which comprise the building blocks of supply chain theory. These characteristics include the flows of material through a supply chain network, the temporal management of these material flows, the dyadic and triadic interactions of firms within the supply chain network, and the outward focus on supply chain management (SCM), in other words a supply chain orientation, of firms in a supply chain. Further, recognizing that supply chain theories must contain the previously identified characteristics, we offer Factor Market Rivalry (FMR) as a theory of SCM. FMR refers to intense battles for resource positions that are needed to manufacture, provide, or deliver firm products or services. We argue that FMR only occurs within supply chain phenomena. The piece concludes with a future research agenda based upon the practical implications of further developing FMR as a theory of SCM.

Exploring the interpersonal consequences of adverse childhood experiences in college students

The Interpersonal Process Model of Intimacy characterizes intimacy as dyadic interpersonal interactions in which vulnerable behaviors are displayed and reinforced by suitable listeners. We posited that Adverse Childhood Experiences (ACEs) would foster avoidance of vulnerable speaker behaviors in dyadic exchanges, as seen in self-concealment, and that lower levels of ACEs would be associated with more self-disclosure. Correspondingly, we examined whether self-concealment and self-disclosure simultaneously mediated the relationship between ACEs and relationship closeness in college students. Results revealed that ACEs were significantly associated with more self-concealment only. After removing self-disclosure from the model, self-concealment mediated the relationship between ACEs and relationship closeness. Self-concealment mediated the relationship between ACEs and fear of intimacy. Together, the present investigation adds to existing literature by pointing to the interpersonal consequences of ACEs and a potential mechanism maintaining this relationship, and the potential for therapies targeting inflexible responding patterns to enhance functional intimacy-related repertoires.

Social status mediates behavioral, endocrine, and neural responses to an intruder challenge in a social cichlid, Astatotilapia burtoni

Most animals encounter social challenges throughout their lives as they compete for resources. Individual responses to such challenges can depend on social status, sex, and community-level attributes, yet most of our knowledge of the behavioral and physiological mechanisms by which individuals respond to challenges has come from dyadic interactions between a resource holder and a challenger (usually both males). To incorporate differences in individual behavior that are influenced by surrounding group members, we use naturalistic communities of the cichlid fish, Astatotilapia burtoni, and examine resident dominant male responses to a territorial intrusion within the social group. We measured behavior and steroid hormones (testosterone and cortisol), and neural activity in key brain regions implicated in regulating territorial and social dominance behavior. In response to a male intruder, resident dominant males shifted from border defense to overt attack behavior, accompanied by decreased basolateral amygdala activity. These differences were context dependent – resident dominant males only exhibited increased border defense when the intruder secured dominance. Neither subordinate males nor females changed their behavior in response to a territorial intrusion in their community. However, neural activity in both hippocampus and lateral septum of subordinates increased when the intruder failed to establish dominance. Our results demonstrate how a social challenge results in multi-faceted behavioral, hormonal, and neural changes, depending on social status, sex, and the outcome of an intruder challenge. Taken together, our work provides novel insights into the mechanisms through which individual group members display context- and status-appropriate challenge responses in dynamic social groups.

Emergence and assessment of interpersonal experience and behavior in a nonverbal, generative, game-like paradigm

Dominance, hostility and autonomy are interpersonal phenomena that emerge from the complex dyadic interplay of two individuals reciprocally influencing each other. Assessing the complexity of interpersonal interactions usually involves its reduction, for example with self-report and observer-rated measures informed by the structural analysis of social behavior (SASB). In contrast, letting individuals generate a complex stream of interpersonal experience and behavior from moment to moment is an empirical approach not yet usual in interpersonal theory. In the present study, we developed and evaluated an interpersonal, generative paradigm that allows participants to interact nonverbally and spontaneously with a computer-controlled other player in real-time without the need for introspection or the capacity to verbalize potentially implicit interpersonal processes. In the game-like paradigm, participants use the keyboard to take over objects such as a handcar to move autonomously around and encounter interfering or freedom granting artificial other players. We expected that participants (1) experience the nonverbal so-called game mechanics of the paradigm as interpersonal in nature, (2) behave towards the other players in an interpersonally complementary way, and (3) are influenced by their own trait interpersonal expectations. During the paradigm, 40 participants appraised the majority of the game mechanics and computer-controlled other players as intended. Also, interpersonal traits affected the spontaneous behavior towards artificial characters. These findings corroborate the feasibility and validity of a generative assessment of interpersonal dynamics beyond self-reports and observer ratings. The paradigm paves the way for the empirical testing of formal, computational models of dyadic interaction.

The benefits of learning movement sequences in social interactions.

Although we frequently acquire knowledge and skills through social interactions, the focus of most research on learning is on individual learning. Here we characterize Interaction Based Learning (IBL), which represents the acquisition of knowledge or skill through social interactions, and compare it to Observational Learning (OL)—learning by observation. To that end, we designed a movement synchronization paradigm whereby participants learned Tai-Chi inspired movement sequences from trained teachers in two separated sessions. We used a motion capture system to track the movement of 40 dyads comprised of a teacher and learner, who were randomly divided into OL or IBL groups, and calculated time-varying synchrony of three-dimensional movement velocity. While in the IBL group both the learner and the teacher could see each other through a transparent glass, in the OL group dyads interacted through a one-way mirror, such that the learners observed the teacher, but the teacher could not see the learners. Results show that although the number of movements recalled was not different between groups, we found improved movement smoothness in the IBL compared to the OL group, indicating movement acquisition was better in the IBL group. In addition, we found that motor synchronization levels in dyads improved over time, indicating that movement synchronization can be learned and retained. In the first session, the IBL group, but not the OL group, showed a significant improvement in synchronization. This suggests that dyadic interaction is important for learning movement sequences, and that bidirectional communication of signals and mutual feedback are essential for the consolidation of motor learning.

Acquisition of turn-taking in sign language conversations: An overview of language modality and turn structure.

The task of transitioning from one interlocutor to another in conversation – taking turns – is a complex social process, but typically transpires rapidly and without incident in conversations between adults. Cross-linguistic similarities in turn timing and turn structure have led researchers to suggest that it is a core antecedent to human language and a primary driver of an innate “interaction engine.” This review focuses on studies that have tested the extent of turn timing and turn structure patterns in two areas: across language modalities and in early language development. Taken together, these two lines of research offer predictions about the development of turn-taking for children who are deaf or hard of hearing (DHH) acquiring sign languages. We introduce considerations unique to signed language development – namely the heterogenous ecologies in which signed language acquisition occurs, suggesting that more work is needed to account for the diverse circumstances of language acquisition for DHH children. We discuss differences between early sign language acquisition at home compared to later sign language acquisition at school in classroom settings, particularly in countries with national sign languages. We also compare acquisition in these settings to communities without a national sign language where DHH children acquire local sign languages. In particular, we encourage more documentation of naturalistic conversations between DHH children who sign and their caregivers, teachers, and peers. Further, we suggest that future studies should consider: visual/manual cues to turn-taking and whether they are the same or different for child or adult learners; the protracted time-course of turn-taking development in childhood, in spite of the presence of turn-taking abilities early in development; and the unique demands of language development in multi-party conversations that happen in settings like classrooms for older children versus language development at home in dyadic interactions.

Different types of laughter and their function for emotion regulation in dyadic interactions

Different types of laughter and their function for emotion regulation in dyadic interactions

An explanatory model of parental sensitivity in the mother-father-infant triad.

Quality of early family interactions has been associated with child development, bonding, and mental health. Childhood adversity, stress, and depression impact parenting, affecting the quality of the interaction within the mother-father-child triad. The aim of the present study was to analyze the influence of parents' adverse childhood experiences, depressive symptoms, and parental stress, on their sensitive response toward their tooddler and quality of traidic interactions. A correlational cross-sectional method was used. The sample included 80 mother-father-child triads, of toddlers with social-emotional difficulties. Parents early adverse experiences, parental stress, and depressive symptoms were assessed through self-report measures. Observational measures on parental sensitivity and triadic interaction were used. For mothers and fathers, adverse childhood experiences were associated with depressive symptoms in adulthood. Sensitivity toward their child and stress were positively associated among both parents. Symptoms of depression in mothers were associated with lower sensitivity toward their child, but in fathers, their sensitive response was influenced by the level of parental stress in the mother. In both parents, greater sensitivity in the dyadic interaction with the child was associated with a higher quality of the triadic interactions, in the triad as a whole, and in the regulation and involvement of the child.

Trust-Based Decision-Making in the Health Context Discriminates Biological Risk Profiles in Type 1 Diabetes.

Theoretical accounts on social decision-making under uncertainty postulate that individual risk preferences are context dependent. Generalization of models of decision-making to dyadic interactions in the personal health context remain to be experimentally addressed. In economic utility-based models, interactive behavioral games provide a framework to investigate probabilistic learning of sequential reinforcement. Here, we model an economic trust game in the context of a chronic disease (Diabetes Type 1) which involves iterated daily decisions in complex social contexts. Ninety-one patients performed experimental trust games in both economic and health settings and were characterized by a multiple self-report set of questionnaires. We found that although our groups can correctly infer pay-off contingencies, they behave differently because patients with a biological profile of preserved glycemic control show adaptive choice behavior both in economic and health domains. On the other hand, patients with a biological profile of loss of glycemic control presented a contrasting behavior, showing non-adaptive choices on both contexts. These results provide a direct translation from neuroeconomics to decision-making in the health domain and biological risk profiles, in a behavioral setting that requires difficult and self-consequential decisions with health impact. Our findings also provide a contextual generalization of mechanisms underlying individual decision-making under uncertainty.

Bared-teeth displays in bonobos (Pan paniscus): An assessment of the power asymmetry hypothesis.

Facial expressions are key to navigating social group life. The Power Asymmetry Hypothesis of Motivational Emancipation predicts that the type of social organization shapes the meaning of communicative displays in relation to an individual's dominance rank. The bared-teeth (BT) display represents one of the most widely observed communicative signals across primate species. Studies in macaques indicate that the BT display in despotic species is often performed unidirectionally, from low- to high-ranking individuals (signaling submission), whereas the BT display in egalitarian species is usually produced irrespective of dominance (mainly signaling affiliation and appeasement). Despite its widespread presence, research connecting BT displays to the power asymmetry hypothesis outside the Macaca genus remains scarce. To extend this knowledge, we investigated the production of BT in relation to social dominance in dyadic interactions (N = 11,377 events) of 11 captive bonobos (Pan paniscus). Although adult bonobos were more despotic than previously suggested in the literature, BT displays were produced irrespective of dominance rank. Moreover, while adults produced the BT exclusively during socio-sexual interactions, especially during periods of social tension, immature bonobos produced the BT in a wider number of contexts. As such, the results indicate that the communicative meaning of the BT display is consistent with signaling appeasement, especially in periods of social tension. Moreover, the BT display does not seem to signal social status, supporting the prediction for species with a high degree of social tolerance. These results advance our understanding of the origins of communicative signals and their relation to species' social systems.

Ambivalence experienced by infertile couples undergoing IVF: a qualitative study

The emotional consequences of infertility are well documented. However, relatively few studies have emphasized the dyadic emotional interaction within couples, despite infertility being a shared life event. This study adopted a dyadic (between two people) approach to explore the emotional complexity that infertile couples face. A descriptive qualitative study was conducted with 24 participants, including eight infertile couples and eight wives undergoing infertility treatments. Conjoint and individual interviews were conducted through purposive sampling in a large fertility centre in Tianjin, China, between June and August 2015. Thematic analysis identified two main themes: (i) ‘decisional ambivalence’, with subthemes of ‘ambivalent attitudes towards treatment’, ‘uncertainty about treatment outcomes’, and ‘treatment-related lifestyle changes’; and (ii) ‘relational ambivalence’ which included subthemes of ‘intergenerational ambivalence’ and ‘partner ambivalence’. Complex emotions of ambivalence among infertile couples were common as infertility clearly shattered their assumptive world on family formation. With complex entanglement of mixed emotions, ambivalence was intimately associated with cultural norms, social expectations, and active or over engagement of family members in Chinese societies. Since ambivalence could threaten mental and physical health during pregnancy, healthcare professionals should be prepared to assist infertile couples with identifying, articulating, and normalizing decisional and relational ambivalence during the treatment process.

Bystander fallow deer engage in third-party behaviour based on similarities in contestant resource-holding potential

Competitive dyadic interactions frequently attract the attention of bystanders that follow and disrupt the ongoing contest. The motivation for bystanders to engage in such third-party behaviour is considered by several different theoretical approaches; one such model argues that bystanders intervene to prevent subordinates from gaining a winner effect, thereby becoming a threat to the individual's dominant status within the group. This study investigates the role of contestant morphology as a motivating factor in initiating third-party behaviour. We investigated whether two correlates of resource-holding potential, prerut body weight and antler weight, were associated with third-party behaviour in rutting male fallow deer, Dama dama . In addition, we examined whether a third factor, reproductive effort (weight loss during the rut) was associated with third-party behaviour. There was a positive relationship between antler weight and the number of times individual males experienced third-party behaviour during contests. This relationship was not evident for either prerut weight or weight loss. An analysis of third-party behaviour showed that as the difference in both prerut and antler weight between the competing males declined, there was an increase in the probability that the dyad would experience third-party behaviour. However, there was no such association between the difference in weight loss between contestants and third-party behaviour. Thus, dyads of males closely matched in terms of individual quality were likely to experience third-party behaviour. We show for the first time that morphological traits associated with resource-holding potential are important cues used by rivals as a basis for engaging in third-party behaviour. • Dyadic fights are often disrupted by third-party group members. • Larger weapons were associated with experiencing more third-party behaviour. • Dyads similar in body and antler weight experienced more third-party behaviour. • Bystander males gather information about fighting rivals' size and quality. • This information is used to inform decisions to engage in third-party behaviour.

Embodying the Face: The Intersubjectivity of Portraits and Self-portraits

The topic of the human face is addressed from a biocultural perspective, focusing on the empirical investigation of how the face is represented, perceived, and evaluated in artistic portraits and self-portraits from the XVth to the XVIIth century. To do so, the crucial role played by the human face in social cognition is introduced, starting from development, showing that neonatal facial imitation and face-to-face dyadic interactions provide the grounding elements for the construction of intersubjective bonds. The neuroscience of face perception is concisely presented and discussed, together with the psychophysics of face perception and gaze exploration, introducing the notions of the left visual field advantage (LVFA) and the left gaze bias (LGB). The results of experiments on the perception and the emotional and aesthetic rating of artistic portraits and self-portraits are reported, showing that despite participants’ inability to tell self-portraits and portraits apart, greater emotional, communicative-social, and aesthetic ratings were attributed to self-portraits. It is concluded that neuroscience and experimental aesthetics can contribute to better understand the human face, hence to better understand ourselves.

Vector centrality in hypergraphs

Identifying the most influential nodes in networked systems is of vital importance to optimize their function and control. Several scalar metrics have been proposed to that effect, but the recent shift in focus towards network structures which go beyond a simple collection of dyadic interactions has rendered them void of performance guarantees. We here introduce a new measure of node's centrality, which is no longer a scalar value, but a vector with dimension one lower than the highest order of interaction in a hypergraph. Such a vectorial measure is linked to the eigenvector centrality for networks containing only dyadic interactions, but it has a significant added value in all other situations where interactions occur at higher-orders. In particular, it is able to unveil different roles which may be played by the same node at different orders of interactions – information that is otherwise impossible to retrieve by single scalar measures. We demonstrate the efficacy of our measure with applications to synthetic networks and to three real world hypergraphs, and compare our results with those obtained by applying other scalar measures of centrality proposed in the literature.