The Acoustic Front-End in Scenarios of Interaction Research
Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction
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
Measuring synchrony in dialog transcripts
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Conversational involvement and synchronous nonverbal behaviour
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Social coordination assessment: distinguishing between shape and timing
MPRSS'12 Proceedings of the First international conference on Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
Synchronized movement in social interaction
Proceedings of the 2013 Inputs-Outputs Conference: An Interdisciplinary Conference on Engagement in HCI and Performance
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Movement synchrony is studied in various fields of research because the occurrence of movement synchrony correlates with the quality of interaction in terms of liking, rapport, and affiliation. Usually, movement synchrony is investigated with time series and a window-wise computed cross-lagged-correlation. This paper is concerned with the problem that (windowed) cross-lagged-correlation could be confounded by auto-correlation, which may lead to biased conclusions about movement synchrony. The proposed solution combines the idea of a window-wise computed measure and the methodological framework of autoregressive models. As shown through simulated time series, the new method is robust against auto-correlation and identifies the time lag and duration of movement synchrony correctly. At last, the method is applied to real time series of a pilot-study on children's nonverbal behaviour. Friends vs. non-friends dyads are compared in neutral vs. conflict situations regarding the occurrence of movement synchrony.