Meisner Technique as a knowledge base for attention and social signals

This site is best presented as a living knowledge base and exploratory methods lab rather than as a conventional funded research project. It organizes material on the Meisner technique and connects actor-training exercises with CRiSS-LAB’s broader interest in interaction, attention, reciprocity, and social behavior.

The research value is methodological: Meisner exercises create structured situations where people practice presence, listening, response, coordination, and adaptation in real time. That makes the material relevant for teaching, leadership training, teamwork, human-AI interaction, and future work on social signal dynamics beyond surveys and static behavioral records.

The public knowledge base is available at meisner.criss-lab.com.

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 applied AI, computational social science, network science, collective intelligence, school coexistence, decision intelligence, and business analytics.