Meisner, interaction, and embodied communication

This project connects the Meisner technique with CRiSS-LAB’s work on interaction, attention, reciprocity, and social behavior. The goal is to use actor-training exercises as a structured setting for observing how people listen, respond, coordinate, and adapt in real time.

The project opens a bridge between computational social science and embodied communication. It can inform teaching, leadership training, teamwork, human-AI interaction, and new ways of studying social signals beyond surveys and static behavioral records.

Cristian Candia
Cristian Candia
Associate Professor and Head of CRiSS-LAB, School of Engineering and School of Government, Universidad del Desarrollo, Chile.

My research interests include collective behavior, collective and artificial intelligence, network science, and business analytics.