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Supporting Multi-objective Decision Making Within a Supervisory Control Environment

  • Ciara SibleyEmail author
  • Joseph Coyne
  • Gopi Vinod Avvari
  • Manisha Mishra
  • Krishna R. Pattipati
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9744)

Abstract

This paper discusses decision making challenges involved in the management of multiple unmanned vehicles within a dynamic mission environment. Given the increased likelihood of this new supervisory control paradigm, the authors developed the Supervisory Control Operations User Testbed (SCOUT). A brief overview of SCOUT will be provided, followed by a summary of initial research conducted within the testbed which demonstrates how eye tracking measurements can be utilized to assess workload and predict situation awareness. Subsequent discussion will address challenges associated with dynamic decision making under uncertainty, with respect to multiple asset allocation. Techniques for measuring the accuracy of these decisions as well as assessing operator risk throughout the mission will also be presented. The paper concludes with discussion of how these new decision making metrics can be used to drive decision aids and compares decision making performance and risk bias under varying levels of task load.

Keywords

Supervisory control Decision making Risk Eye tracking Situation awareness 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Ciara Sibley
    • 1
    Email author
  • Joseph Coyne
    • 1
  • Gopi Vinod Avvari
    • 2
  • Manisha Mishra
    • 2
  • Krishna R. Pattipati
    • 2
  1. 1.Naval Research LaboratoryWashington, DCUSA
  2. 2.University of ConnecticutStorrsUSA

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