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From Here to Autonomy.

Mica R Endsley1

  • 1SA Technologies, Mesa, Arizona.

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|February 2, 2017
PubMed
Summary
This summary is machine-generated.

As autonomous systems advance, human operators face challenges maintaining situation awareness and control. This research presents a model to improve human-autonomy interaction and oversight for safer system integration.

Keywords:
adaptive automationautonomyhuman–automation interactionlevel of automationmonitoringsituation awarenesstrustvigilance

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Area of Science:

  • Human-computer interaction
  • Autonomous systems engineering
  • Cognitive systems science

Background:

  • Increasing autonomy in systems (automotive, aviation, robotics) creates an "automation conundrum."
  • Higher system reliability paradoxically reduces human operator situation awareness and control.
  • Operator monitoring, trust, and out-of-the-loop performance are key challenges.

Purpose of the Study:

  • To present a human-autonomy systems oversight model.
  • To integrate decades of research on operator interaction with autonomous systems.
  • To identify design interventions for enhancing human performance in human-autonomy systems.

Main Methods:

  • Developed a model integrating research on situation awareness, trust, and monitoring.
  • Incorporated human-automation interface design features.
  • Included automation interaction paradigms: levels of automation, adaptive automation, and granularity of control.

Main Results:

  • The model addresses the automation conundrum by focusing on operator oversight.
  • Identified key design interventions for improving human performance.
  • Provided recommendations for human-autonomy interface design.

Conclusions:

  • Effective human oversight is critical for safe and reliable autonomous systems.
  • Interface design and interaction paradigms significantly impact human performance.
  • Further research is needed to optimize human-autonomy collaboration.