Foundational concepts in person-machine teaming

As we enter an age where the behavior and capabilities of artificial intelligence autonomous system technologies become ever more sophisticated, cooperation, collaboration, teaming between people these machines is rising to forefront critical research areas. People engage socially with almost everything which they interact. However, unlike animals, do not share experiential aspects sociality. Experiential robotics identifies need develop that only learn from their own experience, but can experience in interactions, wherein experiences are primarily social. In this paper, argue, therefore, for place considerations interaction, as basis design engineering person-machine teams. We first explore importance semantics driving approaches robot development. Then, examine differences usage relevant terms like trust ethics social science lay out implications development autonomous, systems.