Temporal adaptation and anticipation mechanisms to overcome the Out Of The Loop problem in HRI

Abstract

The present paper outlines an approach based on joint action to overcome the Out Of The Loop (OOTL) phenomenon in HRI. Our proposed solution involves endowing artificial agents, specifically robots, with the same temporal adaptation and anticipation mechanisms that underlie mutual influence in human-human interactions. Specifically, we argue that independently from the motoric repertoire of the robot, its behaviour should be characterized by reactive period and phase correction together with temporal prediction mechanisms that facilitate precise coordination with the user. This will optimize the balance of self-other integration and segregation, allowing the human to stay in the loop during joint action with a robot