Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
Analysis of nonverbal involvement in dyadic interactions
COST 2102'07 Proceedings of the 2007 COST action 2102 international conference on Verbal and nonverbal communication behaviours
Nonverbal synchrony or random coincidence? how to tell the difference
COST'09 Proceedings of the Second international conference on Development of Multimodal Interfaces: active Listening and Synchrony
Investigation of movement synchrony using windowed cross-lagged regression
COST'10 Proceedings of the 2010 international conference on Analysis of Verbal and Nonverbal Communication and Enactment
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Social interaction is a core aspect of human life that affects individuals' physical and mental health. Social interaction usually leads to mutual engagement in diverse areas of cognitive, emotional, physiological and physical activity involving both interacting persons and subsequently impacting the outcome of these interactions. A common approach to the analysis of social interaction is the study of the verbal content transmitted between sender and receiver. However, additional important processes and dynamics are occurring in other domains too, for example in the area of nonverbal behaviour. In a series of studies, we have looked at interactional synchrony -- the coordination of two persons' movement patterns -- and its association with relationship quality and with the outcome of interactions. Using a computer-based algorithm, which automatically quantifies a person's body-movement, we were able to objectively calculate interactional synchrony in a large number of dyads interacting in various settings. In a first step, we showed that the phenomenon of interactional synchrony existed at a level that was significantly higher than expected by chance. In a second step, we ascertained that across different settings -- including patient-therapist dyads and healthy subject dyads -- more synchronized movement was associated with better relationship quality and better interactional outcomes. The quality of a relationship is thus embodied by the synchronized movement patterns emerging between partners. Our studies suggested that embodied cognition is a valuable approach to research in social interaction, providing important clues for an improved understanding of interaction dynamics.