The Virtual Teacher (VT) Paradigm: Learning New Patterns of Interpersonal Coordination Using the Human Dynamic Clamp

Area of Science:

• * Cognitive Science
• * Neuroscience
• * Robotics

Background:

• * Interpersonal coordination learning is crucial for social interaction.
• * Existing methods for studying coordination learning are limited.
• * The Human Dynamic Clamp (HDC) offers a novel approach to control and study human-machine interaction.

Purpose of the Study:

• * To introduce and evaluate the Virtual Teacher (VT) paradigm, an HDC application, for interpersonal coordination learning.
• * To investigate the VT's efficacy in helping humans co-produce and internalize new coordination patterns.
• * To explore the dynamics of information flow during VT-human coordination and learning.

Main Methods:

• * Mathematical modeling and experimental human-computer interaction.
• * Participants performed rhythmic finger movements while observing a VT-controlled avatar.
• * The VT avatar was animated using established dynamic equations of coordination (Haken-Kelso-Bunz, Schöner-Kelso models).

Main Results:

• * The VT successfully shifted the coordination pattern produced by the VT-human system to target values.
• * The VT facilitated learning of unstable relative phasing patterns.
• * Increased information flow between partners correlated with decreased coordination stability, suggesting a role in learning.

Conclusions:

• * The Virtual Teacher is a viable tool for studying basic learning processes in social interaction.
• * VT can help unravel the dynamics of information exchange during human-human and human-machine coordination.
• * This paradigm shows potential for developing new rehabilitation strategies for coordination disorders.