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Related Experiment Video

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Detecting automation failures in a simulated supervisory control environment.

Cyrus K Foroughi1,2, Ciara Sibley1, Noelle L Brown1

  • 1a U.S. Naval Research Laboratory , Washington , DC , USA.

Ergonomics
|June 11, 2019
PubMed
Summary
This summary is machine-generated.

Individuals monitoring multiple automated displays tend to trust the systems broadly, even when automation reliability varies. Detection of automation failures, especially misses, is challenging and worsens under high workload conditions.

Keywords:
Automationattention allocationautomation failureseye-trackinghuman-automation interactionsupervisory controlsystem-wide trust

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Area of Science:

  • Human-Computer Interaction
  • Cognitive Psychology
  • Automation Systems

Background:

  • The increasing integration of automation across industries necessitates understanding human oversight of complex systems.
  • Effective human monitoring of multiple automated displays is crucial for safety and efficiency.

Purpose of the Study:

  • To investigate how individuals allocate visual attention and perform when monitoring multiple automated displays with varying reliability levels.
  • To assess the impact of workload on the detection of automation failures.

Main Methods:

  • Ninety-six participants performed a simulated supervisory control task involving three automated displays with differing reliability (70%, 85%, 95%).
  • A high and low workload manipulation was implemented.
  • Eye-tracking technology was used to monitor visual attention allocation.

Main Results:

  • Participants missed automation failures more often than they incorrectly flagged them (2.5x more misses).
  • Automation failure detection performance declined significantly under high workload conditions.
  • Detection performance remained largely consistent across different automation reliability levels.
  • Visual attention was distributed relatively evenly across all automated displays.

Conclusions:

  • The findings suggest a default tendency towards a system-wide trust when individuals monitor multiple automated systems.
  • Operators may not adequately adjust their monitoring strategy based on individual display reliability.
  • High workload significantly impairs the ability to detect automation failures, highlighting a critical vulnerability.