Virtual Partner Interaction (VPI): Exploring Novel Behaviors via Coordination Dynamics

Inspired by the dynamic clamp of cellular neuroscience, this paper introduces VPI—Virtual Partner Interaction—a coupled dynamical system for studying real time interaction between a human and a machine. In this proof of concept study, human subjects coordinate hand movements with a virtual partner, an avatar of a hand whose movements are driven by a computerized version of the Haken-Kelso-Bunz (HKB) equations that have been shown to govern basic forms of human coordination. As a surrogate system for human social coordination, VPI allows one to examine regions of the parameter space not typically explored during live interactions. A number of novel behaviors never previously observed are uncovered and accounted for. Having its basis in an empirically derived theory of human coordination, VPI offers a principled approach to human-machine interaction and opens up new ways to understand how humans interact with human-like machines including identification of underlying neural mechanisms

Sensorimotor paradigms for design of movement and social interaction

The human brain has evolved for governing motor activity by transforming sensory patterns to patterns of motor coordination. Movement, as a basic bodily expression of this governing function is shown to underlie higher cognitive processes and social interaction.There are three prevailing concepts of sensorimotor interaction that set up different frameworks for design of artificial movement. This paper focuses on the common coding [1??] paradigm of sensorimotor interaction as justified by recent experimental studies on the mirror neuron system. It aims to provide a novel approach to design of movement interactions in an inter-agent setting

Social interaction in robotic agents emulating the mirror neuron function

Emergent interactions that are expressed by the movements of two agents are discussed in this paper. The common coding principle is used to show how the mirror neuron system may facilitate interaction behaviour. Synchronization between neuron groups in different structures of the mirror neuron system are in the basis of the interaction behaviour. The robotics experimental setting is used to illustrate the method. The resulting synchronization and turn taking behaviours show the advantages of the mirror neuron paradigm for designing of socially meaningful behaviour