Abstract
We discuss the Situation awareness-based Agent Transparency (SAT) model and its three levels of information to support agent transparency and operator situation awareness of the agent: agent's current action or plan, agent's reasoning information, and agent's projections of future outcomes. Two studies -- Autonomous Squad Member and IMPACT -- are summarized to illustrate the utility of agent transparency for the overall human-agent team performance.
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