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Virtual Partner Interaction (VPI): exploring novel behaviors via coordination dynamics.

J A Scott Kelso¹, Gonzalo C de Guzman, Colin Reveley

¹Human Brain and Behavior Laboratory, Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, FL, USA. kelso@ccs.fau.edu

|June 4, 2009

Summary

This study introduces Virtual Partner Interaction (VPI), a novel system for real-time human-machine coordination. VPI uncovers new interaction behaviors by simulating human movement dynamics.

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Area of Science:

Human-computer interaction
Computational neuroscience
Robotics

Background:

The dynamic clamp in cellular neuroscience inspires new models for biological systems.
Human coordination is often studied using simplified models like the Haken-Kelso-Bunz (HKB) equations.

Purpose of the Study:

To introduce Virtual Partner Interaction (VPI), a coupled dynamical system for real-time human-machine interaction.
To explore parameter spaces in human-machine coordination beyond typical live interaction scenarios.

Main Methods:

Developed VPI, a system where human subjects coordinate hand movements with a virtual hand avatar.
The virtual avatar's movements are driven by a computational model based on the Haken-Kelso-Bunz (HKB) equations.

Main Results:

Observed and accounted for several novel human-machine coordination behaviors not previously documented.
VPI demonstrated its capability to explore unexplored regions of the interaction parameter space.

Conclusions:

VPI provides a principled framework for human-machine interaction research, grounded in established theories of human coordination.
This approach facilitates understanding human interaction with human-like machines and aids in identifying neural mechanisms.