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Considerations in Physiological Metric Selection for Online Detection of Operator State: A Case Study

  • Ryan W. WohleberEmail author
  • Gerald Matthews
  • Gregory J. Funke
  • Jinchao Lin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9743)

Abstract

The development of closed-loop systems is fraught with many challenges. One of the many important decisions to be made in this development is the selection of suitable metrics to detect operator state. Successful metrics can inform adaptations in an interface’s design, features, or task elements allocated to automated systems. This paper will discuss various challenges and considerations involved in the selection of metrics for detecting fatigue in operators of unmanned aerial vehicles (UAVs). Using Eggemeier and colleague’s guidelines for workload metric selection as a basis, we review several criteria for metric selection and how they are applied to selection of metrics designed to assess operator fatigue in an applied closed-loop system.

Keywords

Metric selection Fatigue Automated decision making aid Human factors Supervisory control 

Notes

Acknowledgement

This research was sponsored by AFOSR A9550-13-1-0016 and 13RH05COR. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of AFOSR or the US Government.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Ryan W. Wohleber
    • 1
    Email author
  • Gerald Matthews
    • 1
  • Gregory J. Funke
    • 2
  • Jinchao Lin
    • 1
  1. 1.Institute for Simulation and TrainingUniversity of Central FloridaOrlandoUSA
  2. 2.Air Force Research LaboratoryWright-Patterson AFBDaytonUSA

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