Modeling dominance effects on nonverbal behaviors using granger causality

In this paper we modeled the effects that dominant people might induce on the nonverbal behavior (speech energy and body motion) of the other meeting participants using Granger causality technique. Our initial hypothesis that more dominant people have generalized higher influence was not validated when using the DOME-AMI corpus as data source. However, from the correlational analysis some interesting patterns emerged: contradicting our initial hypothesis dominant individuals are not accounting for the majority of the causal flow in a social interaction. Moreover, they seem to have more intense causal effects as their causal density was significantly higher. Finally dominant individuals tend to respond to the causal effects more often with complementarity than with mimicry

Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study

Identifying the direction of emotional influence in a dyadic dialogue is of increasing interest in the psychological sciences with applications in psychotherapy, analysis of political interactions, or interpersonal conflict behavior. Facial expressions are widely described as being automatic and thus hard to overtly influence. As such, they are a perfect measure for a better understanding of unintentional behavior cues about social-emotional cognitive processes. With this view, this study is concerned with the analysis of the direction of emotional influence in dyadic dialogue based on facial expressions only. We exploit computer vision capabilities along with causal inference theory for quantitative verification of hypotheses on the direction of emotional influence, i.e., causal effect relationships, in dyadic dialogues. We address two main issues. First, in a dyadic dialogue, emotional influence occurs over transient time intervals and with intensity and direction that are variant over time. To this end, we propose a relevant interval selection approach that we use prior to causal inference to identify those transient intervals where causal inference should be applied. Second, we propose to use fine-grained facial expressions that are present when strong distinct facial emotions are not visible. To specify the direction of influence, we apply the concept of Granger causality to the time series of facial expressions over selected relevant intervals. We tested our approach on newly, experimentally obtained data. Based on the quantitative verification of hypotheses on the direction of emotional influence, we were able to show that the proposed approach is most promising to reveal the causal effect pattern in various instructed interaction conditions.Comment: arXiv admin note: text overlap with arXiv:1810.1217

Testosterone, Dominance, and Depression in Recently Married Couples

Dominance refers to the wide set of behaviors individuals engage in with the intention of achieving or maintaining social status. Considering the relevance of these behaviors in the dynamics of close relationships, this study examined relations among testosterone, dominance, and the emotional health of a total of 225 opposite sex newlywed couples. An original measure of dominance was developed that accounted for both positive and negative manifestations, as well as situational and dispositional qualities of these status-promoting behaviors. Structural equation analyses revealed that dominance behaviors predict depression for both wives and husbands, and that positive and negative aspects of dominance contribute differently to spouses’ depression. Higher levels of depressive symptoms were related to reports of more dispositional hostility for both husbands and wives, as well as to greater submission during a conflict situation. In turn, greater assertiveness was related to fewer depressive symptoms for both husbands and wives. A subset of dominance behaviors reflecting spouses’ appraisals of having had more power, influence, and control relative to their partners during the conflict interaction, exclusively predicted more depressive symptoms for wives. Finally, lower levels of testosterone were indirectly associated with more depressive symptoms for husbands, and this relation was partially mediated by dominance behaviors. Implications of our findings, as well as limitations, are discussed in light of the existent literature and directions for future research on the interpersonal and biological aspects of marital well-being are considered

Finding Structure in Time:Visualizing and Analyzing Behavioral Time Series

The temporal structure of behavior contains a rich source of information about its dynamic organization, origins, and development. Today, advances in sensing and data storage allow researchers to collect multiple dimensions of behavioral data at a fine temporal scale both in and out of the laboratory, leading to the curation of massive multimodal corpora of behavior. However, along with these new opportunities come new challenges. Theories are often underspecified as to the exact nature of these unfolding interactions, and psychologists have limited ready-to-use methods and training for quantifying structures and patterns in behavioral time series. In this paper, we will introduce four techniques to interpret and analyze high-density multi-modal behavior data, namely, to: (1) visualize the raw time series, (2) describe the overall distributional structure of temporal events (Burstiness calculation), (3) characterize the non-linear dynamics over multiple timescales with Chromatic and Anisotropic Cross-Recurrence Quantification Analysis (CRQA), (4) and quantify the directional relations among a set of interdependent multimodal behavioral variables with Granger Causality. Each technique is introduced in a module with conceptual background, sample data drawn from empirical studies and ready-to-use Matlab scripts. The code modules showcase each technique's application with detailed documentation to allow more advanced users to adapt them to their own datasets. Additionally, to make our modules more accessible to beginner programmers, we provide a "Programming Basics" module that introduces common functions for working with behavioral timeseries data in Matlab. Together, the materials provide a practical introduction to a range of analyses that psychologists can use to discover temporal structure in high-density behavioral data.</p

Oral hygiene effects verbal and nonverbal displays of confidence

Although oral hygiene is known to impact self-confidence and self-esteem, little is known about how it influences our interpersonal behavior. Using a wearable, multi-sensor device, we examined differences in consumers’ individual and interpersonal confidence after they had or had not brushed their teeth. Students (N = 140) completed nine one-to-one, 3-minute “speed dating” interactions while wearing a device that records verbal, nonverbal, and mimicry behavior. Half of the participants brushed their teeth using Close-Up toothpaste (Unilever) prior to the interactions, whilst the other half abstained from brushing that morning. Compared to those who had not brushed their teeth, participants who had brushed were more verbally confident (i.e., spoke louder, over-talked more), showed less nonverbal nervousness (i.e., fidgeted less), and were more often perceived as being “someone similar to me.” These effects were moderated by attractiveness but not by self-esteem or self-monitoring

Self-Construal Moderates Testosterone Reactivity To Competitive Outcomes

Previous research shows that testosterone reactivity to competitive outcomes predicts aggressive behavior in men. However, some studies have failed to find these effects, and it has been suggested that individual differences moderate the relationships between competitive outcomes, testosterone fluctuations, and aggressive behavior. The current research examined whether one individual difference--self-construal--would moderate these effects. In Study 1, participants were assigned to win or lose a competitive video game and engaged in a reactive aggression task. Results indicated that increases in testosterone in response to winning and decreases in response to losing occurred in men with independent, not interdependent, self-construals. These changes in testosterone mediated the effects of winning and losing on aggressive behavior only in independent men. In Study 2, participants were assigned to win or lose a competition as an individual or part of a team, and completed a novel measure of risk taking. Although analyses found that, unlike Study1, testosterone and competitive outcomes interacted to predict risk taking. However, these effects were again specific to men with independent self-construals. These results suggest for the first time that testosterone\u27s association with antisocial behaviors is a function of how individuals think of the self in relation to others

Learning, Arts, and the Brain: The Dana Consortium Report on Arts and Cognition

Reports findings from multiple neuroscientific studies on the impact of arts training on the enhancement of other cognitive capacities, such as reading acquisition, sequence learning, geometrical reasoning, and memory