Assessing operator strategies for real-time replanning of multiple unmanned vehicles

Authors:
Andrew S. Clare;Pierre C. P. Maere;M. L. Cummings
Affiliations:
Aeronautics and Astronautics Department, Massachusetts Institute of Technology, Cambridge, MA;Delft University of Technology, Delft, The Netherlands;Aeronautics and Astronautics Department, Massachusetts Institute of Technology, Cambridge, MA
Venue:
Intelligent Decision Technologies
Year:
2012

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Abstract

Future unmanned vehicles systems will invert the operator-to-vehicle ratio so that one operator controls a decentralized network of heterogeneous unmanned vehicles. This study examines the impact of allowing an operator to adjust the rate of prompts to view automation-generated plans on system performance and operator workload. Results showed that" the majority of operators chose to adjust the replan prompting rate. The initial replan prompting rate had a significant framing effect on the replan prompting rates chosen throughout a scenario. Higher initial replan prompting rates led to significantly lower system performance. Operators successfully self-regulated their task-switching behavior to moderate their workload.