The current research will explore human-machine trust issues in one of three possible areas: (1) understanding the drivers of trust in a human-robot team (behavior, expectations, signaling of intent), 2) understanding the key facets of transparency as a trust antecedent for automated or autonomoous systems, and 3) collecting trust-based lessons learned from fielded systems through interactions with actual users and or operators of the systems. Such systems might include automation, robotics, autonomous cars, etc. The key aspects of this research will be to contribute to the scientific literature on human-machine trust.