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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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System reliability, performance and trust in adaptable automation.

Alain Chavaillaz1, David Wastell2, Jürgen Sauer1

  • 1Department of Psychology, University of Fribourg, Fribourg, Switzerland.

Applied Ergonomics
|September 12, 2015
PubMed
Summary
This summary is machine-generated.

Reduced automation reliability impacts operator trust and cognitive functions like diagnostic speed and prospective memory, even when operators can adapt automation levels. Operators generally cope with failures, but performance degrades with lower system dependability.

Keywords:
Adaptable automationPerformanceReliabilityTrust

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Area of Science:

  • Human-Computer Interaction
  • Cognitive Psychology
  • Automation Systems Engineering

Background:

  • Adaptable automation environments require understanding operator interaction with varying system reliability.
  • Operator performance and decision-making are critical in complex control tasks.

Purpose of the Study:

  • To investigate the impact of reduced automation reliability on operator performance and automation management.
  • To assess operator trust, workload, and reliance on automation under different reliability conditions.

Main Methods:

  • 39 operators were assigned to low (60%), medium (80%), or high (100%) automation reliability groups.
  • A simulated process control task (AutoCAMS) with adaptable automation levels was used.
  • Operator performance, automation management, trust, and workload were measured post-training.

Main Results:

  • Lower automation reliability decreased operator trust but did not alter reliance levels.
  • Operators demonstrated adaptability to automation failures.
  • Diagnostic speed and prospective memory performance declined with reduced system reliability.

Conclusions:

  • System reliability significantly influences operator trust and cognitive performance, despite adaptable automation.
  • Operators can manage automation failures, but performance decrements necessitate careful reliability design.