Patrick Falk
Senior Lecture in Cognitive Neuroscience
This project aims to explore what different patterns of interpersonal coordination mean in conversation by recording and analysing interpersonal coordination as it naturally occurs in social interactions.
Understanding the timing and at which frequencies such movement behaviours occur can help us answer how and why we use these social signals. Here we (Jamie A. Ward (Goldsmith University, UK), and Roser Cañigueral and Antonia Hamilton (University College London, UK) use high-resolution motion capture to examine three different types of two-person conversation involving different types of information-sharing.
This project aims to use a large corpus of data in order to explore the potential meaning behind this type of interpersonal coordination in high temporal resolution.
We interpret these results in terms of theories of nonverbal communication and consider how methods like high resolution motion capture, gaze-tracking, and cross-wavelet coherence analysis can help advance automated analyses of human conversation behaviours.