Autopilot, Mind Wandering, and the Out of the Loop Performance Problem

Area of Science:

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

Background:

• Increasing automation in critical systems (e.g., aviation, autonomous vehicles) shifts operators to monitoring roles.
• This shift can lead to a lack of system understanding and the 'out of the loop' performance problem.
• Key issues include operator complacency and vigilance decrement, hindering manual control takeover.

Purpose of the Study:

• To review literature on mind wandering and the out of the loop performance problem in automated systems.
• To analyze the interaction between mind wandering and out of the loop issues.
• To explore potential applications of mind wandering markers for detecting automation failures.

Main Methods:

• Literature review of studies on mind wandering and out of the loop performance.
• Analysis of interactions and supporting phenomena (decoupling, attention, comprehension).
• Examination of mind wandering as a potential indicator for out of the loop situations.

Main Results:

• Mind wandering and out of the loop problems share commonalities and interact within automated environments.
• Phenomena like decoupling and decreased cognitive comprehension exacerbate these issues.
• Mind wandering markers show potential for identifying out of the loop scenarios.

Conclusions:

• The interplay between mind wandering and out of the loop performance significantly impacts human function in automated systems.
• Further research is needed to fully characterize these interactions and develop effective detection methods.
• Understanding these cognitive phenomena is crucial for enhancing safety in highly automated environments.