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Operator adaptation to changes in system reliability under adaptable automation.

Alain Chavaillaz¹, Juergen Sauer¹

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

|November 24, 2016

Summary

This summary is machine-generated.

Operators adapt to changing system reliability, with most preferring automation levels that reduce workload while retaining control. Adaptable automation is beneficial due to varied operator preferences.

Keywords:

Automation complacency reliability training trust

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Area of Science:

Human-Computer Interaction
Cognitive Engineering
Automation Systems

Background:

Operator adaptation to system reliability changes is crucial for effective human-automation interaction.
Understanding operator preferences for automation levels (LOA) is key to designing user-centered systems.
Previous research has not fully explored the impact of reliability shifts between training and testing on operator behavior.

Purpose of the Study:

To investigate how operators cope with changes in system reliability between training and testing phases.
To examine operator behavior and preferences regarding levels of automation (LOA) under varying reliability conditions.
To assess the influence of training experience on operator performance and complacency.

Main Methods:

Forty participants trained on a process control simulation with six levels of automation (LOA).
Training involved either high (100%) or low (50%) system reliability.
Testing involved a 2.5-hour session with high (100%) or low (60%) system reliability, examining operator adaptation and LOA choices.

Main Results:

Most operators did not frequently switch LOA, preferring tasks that minimized workload while preserving decision authority.
Training experience showed limited impact on performance and complacency outcomes.
Low system reliability decreased operator performance and self-confidence, while high reliability led to complacency.

Conclusions:

Operators can adapt to shifts in system reliability between training and testing.
Individual operator preferences for LOA are significant and varied.
Adaptable automation systems are recommended to accommodate diverse operator preferences and enhance usability.