Human-Machine Entrainment and Trust
When humans speak to each other, they adapt their voice, language, gestures and posture to become more similar to their conversational partner. This behavior, called entrainment, is one way humans strengthen bonds with each other, and has been associated in multiple studies with feelings of liking and trust.
As voice interfaces become more sophisticated and more capable of analyzing and generating conversational behavior in multiple modalities, they will need to entrain to human users, adapting to match them, in order to promote the social bonds and trust that are crucial to human-machine interaction and collaboration, whether as an in-car vocal navigation system, an assembly-line robot, or a military rescuebot.
Rivka will talk about the research being done in the Brooklyn College Speech Lab, and in collaborating institutions around the world, to understand the role entrainment plays in human-human and human-machine communication and trust.
Rivka Levitan, Ph.D.