Lt. Colonel Celaya’s research deals with human decision-making when paired with Artificial Intelligence, autonomous systems, or other types of artificial systems. Specifically, research questions revolve around advisor trust using human confidence as an implicit measure of advisor trust when receiving advice or working in a human-machine team. In other words, my research aims to uncover methods to maximize appropriate human-machine interaction. Other areas of interest include the effects of anthropomorphism, algorithmic expressions of confidence, user cognitive load, user affective states, and other dispositional traits of the user on human advice seeking and use.