Managing autonomy in robot teams: observations from four experiments

It is often desirable for a human to manage multiple robots. Autonomy is required to keep workload within tolerable ranges, and dynamically adapting the type of autonomy may be useful for responding to environment and workload changes. We identify two management styles for managing multiple robots and present results from four experiments that have relevance to dynamic autonomy within these two management styles. These experiments, which involved 80 subjects, suggest that individual and team autonomy benefit from attention management aids, adaptive autonomy, er information abstraction. Categories and Subject Descriptors H.5.m [Miscellaneous] General Terms Human Factors Keywords Human-Robot Interaction, Teams, Adjustable Autonomy, Dynamic Autonomy

• Type: Conference
• Year: 2007
• Where: HRI
• Authors: Michael A. Goodrich, Timothy W. McLain, Jeffrey D. Anderson, Jisang Sun, Jacob W. Crandall
• Keywords: Dynamic Autonomy, HRI 2007, Human Computer Interaction, Multiple Robots, Team Autonomy Benefit