Physiological Linkage of Dyadic Gaming Experience

Järvelä, Sanna; Kivikangas, J. Matias; Kätsyri, Jari; Ravaja, Niklas

doi:10.1177/1046878113513080

Cited by 65 publications

(76 citation statements)

References 43 publications

(70 reference statements)

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“…Using the example of two colleagues who experience SNS arousal in response to a social-evaluative task, influence during a dyadic interaction may imply that excitement is being passed from the highstatus colleague to the low-status colleague, but it is also possible that influence on SNS activity reflects psychological attunement between people (i.e., the process of attending to one's partner's emotional or psychological states) rather than a shared experience of excitement. Indeed, several studies have focused on the relation between physiological influence of SNS activity and psychological processes related to attunement such as empathy and social sensitivity (Järvelä, Kivikangas, Kätsyri, & Ravaja, 2013;Guastello, Pincus, & Gunderson, 2006;Levenson & Ruef, 1992;Marci, Ham, Moran, & Orr, 2007). In this case, a psychological process that may be associated with SNS activity within an individual (e.g., stress) may be associated with interest and engagement in the partner, suggesting that influence can occur not because stress, specifically, is transferred, but because partners are attuned more generally with the fluxes and flows of each other's affective states.…”

Section: Dyadic Physiological Influence 12mentioning

confidence: 99%

Measuring physiological influence in dyads: A guide to designing, implementing, and analyzing dyadic physiological studies.

Thorson

West

Mendes

2018

Psychological Methods

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Scholars across domains in psychology, physiology, and neuroscience have long been interested in the study of shared physiological experiences between people. Recent technological and analytic advances allow researchers to examine new questions about how shared physiological experiences come about. Yet, comprehensive guides that address the theoretical, methodological, and analytic components of studying these processes are lacking. The goal of this paper is to provide such a guide. We begin by addressing basic theoretical issues in the study of shared physiological states by presenting five guiding theoretical principles for making psychological inferences from physiological influence-the extent to which one dyad member's physiology predicts the other dyad member's physiology at a future time point. Second, keeping theoretical and conceptual concerns at the forefront, we outline considerations and recommendations for designing, implementing, and analyzing dyadic psychophysiological studies. In so doing, we discuss the different types of physiological measures one could use to address different theoretical questions. Third, we provide three illustrative examples in which we estimate physiological influence, using the stability and influence model. We conclude by providing detail about power analyses for the model and by comparing the strengths and limitations of this model to pre-existing models. Scholars have utilized physiological approaches to capture psychological experiences of individuals-including emotions, motivations, and attention-since the early 20 th Century (e.g., Cohen & Patterson, 1937;Darrow, 1929;Jacobson, 1930; Mittleman & Wolff, 1929). For example, early work by Carl Jung examined electrodermal activity as a measure of attention to different stimuli in healthy and clinical samples (Ricksher & Jung, 1908). Beginning in the 1950s, social scientists started to collect data from two or more people in interpersonal interactions to measure interdependence between their physiological states. Early work focused on how similarity between patients' and therapists' heart rates mapped onto behavioral processes such as rapport and antagonism (Coleman, Greenblatt, & Soloman, 1956;DiMascio, Boyd, & Greenblatt, 1957). Since that time, physiological influence has been used to study romantic couples, parent-child dyads, and newly-acquainted dyads and teams, and influence has been associated with relationship quality, individual differences like attachment, and the development of self-regulation and trust (Hill-Soderlund et al., 2008;Levenson & Gottman, 1983;Mitkidis, McGraw, Roepstorff, & Wallot, 2015;Suveg, Shaffer, & Davis, 2016; for reviews see Timmons, Margolin, & Saxbe, 2015;Palumbo et al., 2016).A primary strength of studying physiological influence in interpersonal encounters is that it allows scholars to test theoretical questions that are not testable using traditional measures of self-report or behavioral recordings alone. For example, physiological measures can provide continuous information ...

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Section: Dyadic Physiological Influence 12mentioning

confidence: 99%

Measuring physiological influence in dyads: A guide to designing, implementing, and analyzing dyadic physiological studies.

Thorson

West

Mendes

2018

Psychological Methods

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“…PCC of heart rate in dyads has been reported to predict task completion time [23]. Also in dyads, PC has been associated to interaction and self-reported social presence [25,10]. Conflicting interactions have been reflected in a significantly higher PC increment than that of collaborative interactions by means of the PCC index [10].…”

Section: Pci Interpretationmentioning

confidence: 98%

“…A relatively small number of studies has focused on the PC phenomenon [25], as most of the research carried out in psychophysiology and applications has targeted the individual rather than the group level [11]. Although insufficient, psychophysiological research for collaboration has proved promising.…”

Section: Pci Interpretationmentioning

confidence: 99%

“…Little or no agreement on how to call this physiological relationship has been reached. The diverse nomenclature found includes (chronologically sorted): physiological linkage [31], physiological compliance [50], physiological synchronization [24], physiological correlation [15], joint changes in the physiological signals [25], physiological coupling [11] and physiological markers of togetherness [39]. From now on, this paper uses physiological coupling (PC) for the idea of influence it suggests.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigating collaborative learning success with physiological coupling indices based on electrodermal activity

Pijeira‐Díaz

Drachsler²,

Järvelä

et al. 2016

Proceedings of the Sixth International Conference on Learning Analytics &Amp; Knowledge - LAK '16

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Collaborative learning is considered a critical 21 st century skill. Much is known about its contribution to learning, but still investigating a process of collaboration remains a challenge. This paper approaches the investigation on collaborative learning from a psychophysiological perspective. An experiment was set up to explore whether biosensors can play a role in analysing collaborative learning. On the one hand, we identified five physiological coupling indices (PCIs) found in the literature: 1) Signal Matching (SM), 2) Instantaneous Derivative Matching (IDM), 3) Directional Agreement (DA), 4) Pearson's correlation coefficient (PCC) and the 5) Fisher's z-transform (FZT) of the PCC. On the other hand, three collaborative learning measurements were used: 1) collaborative will (CW), 2) collaborative learning product (CLP) and 3) dual learning gain (DLG). Regression analyses showed that out of the five PCIs, IDM related the most to CW and was the best predictor of the CLP. Meanwhile, DA predicted DLG the best. These results play a role in determining informative collaboration measures for designing a learning analytics, biofeedback dashboard.

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“…However, research suggests that the strength or "magnitude" of physiological synchrony may be enhanced by some kind of shared experience, both among acquaintances and strangers (Palumbo et al, 2017). This may be manifested in diffuse constructs such as empathy (Järvelä, Kivikangas, Kätsyri, & Ravaja, 2013) or feelings of greater involvement in the social interaction (Chanel, Kivikangas, & Ravaja, 2012) as well as more experimental and behavioral indicators. For instance, greater magnitudes of heart rate synchrony were associated with a stronger focus on/less distraction from the interaction partner (Coleman, Greenblatt, & Solomon, 1956), more conflict-laden marital interactions (Levenson & Gottman, 1983), increasing trust building between the interacting persons (Mitkidis, McGraw, Roepstorff, & Wallot, 2015), and better performance in a task requiring collaboration (Henning, Boucsein, & Gil, 2001;Henning & Korbelak, 2005).…”

Section: Introductionmentioning

confidence: 99%

Impact of humor‐related communication elements in natural dyadic interactions on interpersonal physiological synchrony

et al. 2019

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Evidence suggests that in dyadic conversations some alignment occurs at the physiological level, but relatively little is known about the conditions that may facilitate physiological synchrony of two interlocutors. In the present interdisciplinary study, the impact of specific linguistic features of ongoing dialogues—the use of humor‐related communication elements—was examined in 24 male dyads who were meeting for the first time. Heart rate synchrony was quantified using phase synchronization, which reflects the degree of moment‐to‐moment adjustments that occur between the two persons of a dyad. Comical hypotheticals and verbal amplifiers were identified and quantified using cognitive‐linguistic methods of corpus analysis. Additionally, smiles following these communication elements were identified using the Facial Action Coding System. The data showed that the heart rate time series of the two interlocutors were to some extent synchronized in phase, and that the magnitude of this synchronization exceeded what had to be expected by chance. The strength of heart rate synchrony in a dyad was the higher the more comical hypotheticals were produced, independently from how much the two conversation partners were in sum talking to each other. A similar observation was made for verbal amplifiers, but their effect depended on whether they were perceived (and acknowledged by a smile) as humorous. The findings are in line with the more general notion that physiological synchrony may be enhanced by shared experience and suggest that the use of (reciprocated) humor may speed up the building of rapport among communication partners.

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Physiological Linkage of Dyadic Gaming Experience

Cited by 65 publications

References 43 publications

Measuring physiological influence in dyads: A guide to designing, implementing, and analyzing dyadic physiological studies.

Measuring physiological influence in dyads: A guide to designing, implementing, and analyzing dyadic physiological studies.

Investigating collaborative learning success with physiological coupling indices based on electrodermal activity

Impact of humor‐related communication elements in natural dyadic interactions on interpersonal physiological synchrony

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