Quantifying the dynamics of children's individual and interactive behaviour

The temporal variability in children's behaviour constitutes a rich source of information about the origins of that behaviour, as well as about learning and development. This information is essential for unravelling how children’s actions are synchronized with those of other people, as in social interaction, or coordinated in a specific task, as during problem solving. In addition, it provides a framework for conceptualizing and understanding how behaviour emerges en develops from the interaction of body, brain and environment. By thoroughly studying the behaviour as it unfolds over time, employing nonlinear time-series techniques such as recurrence quantification analysis (RQA), it is possible to reveal this information from the noisy measurements. The poster will present examples of the application of RQA on categorical time series of children's behaviour