  When a human receives a prediction or recommended course of action from an
intelligent agent, what additional information, beyond the prediction or
recommendation itself, does the human require from the agent to decide whether
to trust or reject the prediction or recommendation? In this paper we survey
literature in the area of trust between a single human supervisor and a single
agent subordinate to determine the nature and extent of this additional
information and to characterize it into a taxonomy that can be leveraged by
future researchers and intelligent agent practitioners. By examining this
question from a human-centered, information-focused point of view, we can begin
to compare and contrast different implementations and also provide insight and
directions for future work.
