Meisner exercises as a laboratory for social signals

The Meisner technique is built around attention to the other person. Its exercises place listening, repetition, impulse, timing, and response at the center of interaction.

That makes it interesting for computational social science. Many social datasets capture what people did, but not how they were present with one another while doing it. A structured interaction setting can help us observe coordination, reciprocity, turn-taking, emotional alignment, and adaptive response more directly.

The Meisner project is a creative research line, but it also connects to applied questions: how teams build trust, how teachers read a classroom, how leaders listen, and how human-AI systems might support more responsive communication.

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.