Postural Dynamics & Social Status

Focusing on nonverbal communication, this research introduces a new coding system for postural dynamics, merging biomechanical models with a Time Series Notation System. It reveals that self-touch is more prevalent than previously acknowledged and highlights variations in status expressions, with higher status individuals exhibiting a broader range of postures. Interestingly, while intuitive detection of gender and status differences exists, individuals struggle to articulate the basis for these intuitions, challenging existing expectations in the literature.