Presentation
Exploring Information Needs for Supervisory Control of Autonomous Ships – A Navigators’ Perspective
DescriptionThis study explores the application of agent transparency in the context of autonomous ships. Four levels of transparency were developed depicting decisions, planned actions, reasoning, and input parameters of a collision and grounding avoidance system in a realistic context. 34 licensed deck officers ranked their preferences and provided their professional views on which information is needed to supervise autonomous ships. The results indicate the value, and need, for depicting the system’s risk analysis, as part of a suite of parameters required for adequate supervisory control. Furthermore, the result suggests the benefits of dynamic transparency levels to support the variations in supervisory strategies. Finally, this study highlights the importance of expert knowledge in the design of safety critical systems.
Event Type
Lecture
TimeThursday, September 12th3:40pm - 4pm MST
LocationFlagstaff
Human AI Robot Teaming (AI)