Papers
18
Total Citations
640
H-Index
9
About
Julia L. Wright is a prominent researcher specializing in human-autonomy teaming, agent transparency, and human-robot interaction. Her work addresses one of the most pressing challenges in modern robotics and artificial intelligence: how humans can effectively collaborate with autonomous systems while maintaining appropriate trust, situation awareness, and decision-making capability. Wright's most influential contribution is her development and application of the Situation Awareness-based Agent Transparency (SAT) model, introduced in a 2018 paper that has garnered over 327 citations. This framework fundamentally reshaped how researchers and designers think about human-agent collaboration, establishing that calibrated trust and shared understanding are essential to effective teaming. Building on this foundation, her 2019 work on agent transparency and reliability (110 citations) demonstrated how transparency influences human confidence even when autonomous systems perform imperfectly. Across her career, Wright has consistently examined practical dimensions of human-autonomy interaction, including automation assistance levels, communication styles, bidirectional feedback, and levels of autonomy in multi-robot control environments. Her 2022 conceptual toolkit for trust measurement reflects her commitment to providing actionable frameworks for researchers and practitioners alike. With over 600 cumulative citations, Wright's research has meaningfully advanced our understanding of safe, effective human-autonomous system collaboration in complex, real-world settings.
Research Focus
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Top Papers
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- 10Human-agent teaming for robot management in multitasking environments9 citations · 2013