Heart rate wavelet coherence analysis to investigate group entrainment

Quer, Giorgio; Daftari, Joshal; Rao, Ramesh R.

doi:10.1016/j.pmcj.2015.09.008

Cited by 18 publications

(18 citation statements)

References 29 publications

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“…One way to manage this issue is to use time-varying models, which can assess when and how PS changes over time. Although few studies have incorporated time-varying models into IAP research (for exceptions, see Müller & Lindenberger, 2011; Quer, Daftari, & Rao, in press; Waters, West, & Mendes, 2014), this is an important consideration for future work.…”

Section: Resultsmentioning

confidence: 99%

Interpersonal Autonomic Physiology: A Systematic Review of the Literature

Palumbo

Marraccini

Weyandt

et al. 2016

Pers Soc Psychol Rev

385

404

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Interpersonal autonomic physiology is defined as the relationship between people's physiological dynamics, as indexed by continuous measures of the autonomic nervous system. Findings from this field of study indicate that physiological activity between two or more people can become associated or interdependent, often referred to as physiological synchrony. Physiological synchrony has been found in both new and established relationships across a range of contexts, and it correlates with a number of psychosocial constructs. Given these findings, interpersonal physiological interactions are theorized to be ubiquitous social processes that co-occur with observable behavior. However, this scientific literature is fragmented, making it difficult to evaluate consistency across reports. In an effort to facilitate more standardized scholarly approaches, this systematic review provides a description of existing work in the area and highlights theoretical, methodological, and statistical issues to be addressed in future interpersonal autonomic physiology research.

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Section: Resultsmentioning

confidence: 99%

Interpersonal Autonomic Physiology: A Systematic Review of the Literature

Palumbo

Marraccini

Weyandt

et al. 2016

Pers Soc Psychol Rev

385

404

View full text Add to dashboard Cite

show abstract

“…By examining linkage within groups at a dyadic level—measuring how much each group member is ‘linked to’ each other group member (in contrast to studying synchrony with a single group score; e.g. Quer et al , 2016 ), our work shows that there is variability in who shows linkage to whom ; only some members of the group are physiologically linked to others (successful persuaders) and they are only linked to specific others (women). Thus, this work moves beyond linkage as a ‘group-level’ process, showing that the unique dyadic combinations of linkage within a group are tied to group processes.…”

Section: Discussionmentioning

confidence: 99%

Physiological linkage among successful high-status women in international teams

Thorson

Dumitru

West

2020

Social Cognitive and Affective Neuroscience

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In contemporary society, decisions are often made by teams whose members represent different nationalities and genders. In the current work, participants from 55 countries formed groups of three to four people to select one of five firms in a mock firm search. In all groups, one woman was randomly assigned to have higher status than her groupmates; she was also surreptitiously instructed to persuade her group to select one (randomly-assigned) firm. We measured cardiac interbeat intervals for participants throughout the decision-making process to assess physiological linkage—the degree to which a “sender’s” physiological response predicts a “receiver’s” physiological response at a subsequent time interval. On average, high-status women were successful at persuasion. The physiological responses of successful high-status women were also predicted by the responses of their female groupmates: stronger linkage to female group members during the task was associated with success at persuading the group. Successful high-status women were also perceived as more persuasive than others in the group. This work shows that the link between status and successful persuasion generalizes to women among heterogeneous international teams. It also suggests that attention to others—often associated with physiological linkage—may be useful in persuading others during decision-making.

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“…Hence, an increased number of measures, including further variables, is needed to clarify the phenomena involved in the human-horse interaction. In conclusion, this work poses the basis for the application of novel high level signal processing techniques for stationary and non-stationary signals [113,114], already used in investigating human-to-human interaction [115][116][117], to animals, and particularly to horses, in order to objectively reveal interesting responses of both the central and autonomic nervous system (ANS) for a particular uncommon stimulation. Moreover, the achieved results lead us to conclude that a quantitative measure of the human-horse interaction is viable, and it could be very effective in many fields of application, for example in therapy assisted by equine (EAT) [2,118] or for controlling the effect of therapeutic horseback riding [119].…”

Section: Discussionmentioning

confidence: 99%

A Wearable System for the Evaluation of the Human-Horse Interaction: A Preliminary Study

et al. 2016

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Abstract:This study reports on a preliminary estimation of the human-horse interaction through the analysis of the heart rate variability (HRV) in both human and animal by using the dynamic time warping (DTW) algorithm. Here, we present a wearable system for HRV monitoring in horses. Specifically, we first present a validation of a wearable electrocardiographic (ECG) monitoring system for horses in terms of comfort and robustness, then we introduce a preliminary objective estimation of the human-horse interaction. The performance of the proposed wearable system for horses was compared with a standard system in terms of movement artifact (MA) percentage. Seven healthy horses were monitored without any movement constraints. As a result, the lower amount of MA% of the wearable system suggests that it could be profitably used for reliable measurement of physiological parameters related to the autonomic nervous system (ANS) activity in horses, such as the HRV. Human-horse interaction estimation was achieved through the analysis of their HRV time series. Specifically, DTW was applied to estimate dynamic coupling between human and horse in a group of fourteen human subjects and one horse. Moreover, a support vector machine (SVM) classifier was able to recognize the three classes of interaction with an accuracy greater than 78%. Preliminary significant results showed the discrimination of three distinct real human-animal interaction levels. These results open the measurement and characterization of the already empirically-proven relationship between human and horse.

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Heart rate wavelet coherence analysis to investigate group entrainment

Cited by 18 publications

References 29 publications

Interpersonal Autonomic Physiology: A Systematic Review of the Literature

Interpersonal Autonomic Physiology: A Systematic Review of the Literature

Physiological linkage among successful high-status women in international teams

A Wearable System for the Evaluation of the Human-Horse Interaction: A Preliminary Study

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