Granger causal modelling for analysing time series of psychophysiological and behavioural data gained during virtual reality experiments

Abstract

For deeper understanding of mechanisms of communication and cooperation between team members in virtual technical environments, it is necessary to identify the causal relations between elementary behavioural actions and the psychophysiological responses. Since time is an important ingredient in all causal relations, there is a strong need for methods capable of causal analysis of time series carrying information about the activities of communicating and cooperating partners. Such a method is Granger causal modelling, by the help of which behavioural and psychophysiological data from team members working in a 3D virtual reality environment were simultaneously analysed.