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Research Considerations and Tools for Evaluating Human-Automation Interaction with Future Unmanned Systems

  • Ciara SibleyEmail author
  • Joseph Coyne
  • Sarah Sherwood
Chapter

Abstract

Advances in automation will soon enable a single operator to supervise multiple unmanned aerial vehicles. Successfully implementing this new supervisory control paradigm not only requires improvements in automation capability and reliability, but also an understanding of the human performance issues associated with concurrent management of several automated systems. Research in this area has generally focused on topics such as trust, reliability, and levels of automation. The goal of automating systems is generally to minimize the human’s need to directly interact with the system; despite this objective, the majority of current supervisory control research emphasizes situations in which the human must frequently interact with the automation. This is typically done to provide researchers with a clear means of assessing human performance, but ultimately limits the generalizability of the research since it only applies to a limited mission context. The current chapter discusses a model of assessing human-automation interaction that emphasizes not only the traditional outcome-based measures of assessing performance (e.g., speed and accuracy), but also addresses measures of operator state. Such measures include those obtained from subjective workload and fatigue probes, situation awareness (SA) probes, and continuous measures from eye tracking systems. The chapter closes by discussing a new testbed developed by the authors that enables the assessment of human-automation interaction across a broad range of mission contexts.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Naval Research LaboratoryWashington, DCUSA
  2. 2.Embry-Riddle Aeronautical UniversityDaytona BeachUSA

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