Physiological covariation – shared patterns of autonomic physiology between people – has been documented within all social relationships and predicts a variety of interpersonal outcomes. At a basic level, however, there remains uncertainty about how much “social experience” is needed for physiological covariation to occur. The present research addressed this issue by manipulating various facets common to social experiences. Study 1 manipulated social versus nonsocial engagement during cooperative and competitive tasks and examined whether physiological covariation predicts measures of affiliation. Across social contexts, partners exhibited physiological covariation in the sympathetic (SNS) and the parasympathetic (PNS) branches of the auton...
Previous research highlighted that during social interactions people shape each other's emotional st...
Physiological and affective computing propose methods to improve human–machine interactions by adapt...
Physiological and affective computing propose methods to improve human–machine interactions by adapt...
Physiological covariation – shared patterns of autonomic physiology between people – has been docume...
Survival of many species, from insects and birds to human and non-human mammals, requires synchroniz...
This study utilized the Vulnerability-Stress-Adaptation model (Karney & Bradbury, 1995) to investiga...
Interpersonal autonomic physiology is defined as the relationship between people’s physiological dyn...
Existing research already suggested that during different types of social interaction people can rec...
Abstract Interpersonal physiological synchrony has been shown to play important roles in social acti...
I examined whether perceptions of intergroup similarity and conflict interact to predict prejudice a...
Physiological and affective computing propose methods to improve human–machine interactions by adapt...
Scholars across domains in psychology, physiology, and neuroscience have long been interested in the...
Previous work showed that, when we interact with other people, an alignment of psychophysiological m...
Abstract Joint performance can lead to the synchronization of physiological processes among group me...
43 pagesSocial support has been shown to improve both physical and mental health. Previous research ...
Previous research highlighted that during social interactions people shape each other's emotional st...
Physiological and affective computing propose methods to improve human–machine interactions by adapt...
Physiological and affective computing propose methods to improve human–machine interactions by adapt...
Physiological covariation – shared patterns of autonomic physiology between people – has been docume...
Survival of many species, from insects and birds to human and non-human mammals, requires synchroniz...
This study utilized the Vulnerability-Stress-Adaptation model (Karney & Bradbury, 1995) to investiga...
Interpersonal autonomic physiology is defined as the relationship between people’s physiological dyn...
Existing research already suggested that during different types of social interaction people can rec...
Abstract Interpersonal physiological synchrony has been shown to play important roles in social acti...
I examined whether perceptions of intergroup similarity and conflict interact to predict prejudice a...
Physiological and affective computing propose methods to improve human–machine interactions by adapt...
Scholars across domains in psychology, physiology, and neuroscience have long been interested in the...
Previous work showed that, when we interact with other people, an alignment of psychophysiological m...
Abstract Joint performance can lead to the synchronization of physiological processes among group me...
43 pagesSocial support has been shown to improve both physical and mental health. Previous research ...
Previous research highlighted that during social interactions people shape each other's emotional st...
Physiological and affective computing propose methods to improve human–machine interactions by adapt...
Physiological and affective computing propose methods to improve human–machine interactions by adapt...