Does automation bias decision-making?
International Journal of Human-Computer Studies
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Managing autonomy in robot teams: observations from four experiments
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Computers in Human Behavior
Fault detection on robot manipulators using artificial neural networks
Robotics and Computer-Integrated Manufacturing
A model for types and levels of human interaction with automation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In highly autonomous robotic systems, human operators are able to attend to their own, separate tasks, rather than directly operating the robot to accomplish their immediate task(s). At the same time, as operators attend to their own, separate tasks that do not directly involve the robotic system, they can end up lacking situation awareness (SA) when called on to recover from automation failure or from an unexpected event. In this paper, we describe the mechanisms of this problem, known as the out-of-the-loop performance problem, and describe why the problem may still exist in future robotic systems. Existing solutions to the problem, which focus on the level of automation, are reviewed. We describe our current empirical work, which aims to expand upon taxonomies of levels of automation to better understand how engineers of robotic systems may mitigate the problem.