In this paper, we build upon previous research that examined adaptive behaviour in communication and present a study of co-occurring and mirroring gestures in first encounters. This research was conducted in order to better understand how people adapt their communication styles when they meet new people. In addition, we present experiments using machine learning in which classifiers are trained on knowledge about the gestures of one participant in order to anticipate the behaviour of the interlocutor. These experiments are an extension of earlier work that focused on facial expressions Our primary hypothesis is that mirroring effects occur frequently in face-to-face communication and that these effects involve all types of gestures. Additionally, we hypothesise that mirroring should and can be accounted for in advanced and cognitively aware information and communication technologies. The following outline should be used for the paper. Following that, in part 2, we discuss similar research, and in section 3, we talk about the corpus itself as well as the annotations. The part titled "Section 4" covers the description of the extraction of mirroring gestures as well as the presentation of the analysis of mirroring gestures. In the next part, number 5, machine learning experiments were conducted with the purpose of determining whether or not information about the gestures created by one subject may be used to anticipate the presence and kind of gestures made by the interlocutor. In the next part, "Section 6," we will describe the outcomes of the tests, and in the following section, "Section 7," we will draw a conclusion and provide some recommendations for further research.
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