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Trust in Automation defines practices and technical as well as organizational measures to ensure appropriate reliability, transparency and human control of automated systems. It emphasizes observability, fault tolerance and clear escalation paths. The goal is to increase user acceptance and safe operation across product and run processes.
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Trust in automation describes how strongly people expect an automated system to support tasks reliably and appropriately.
The approach grew from human-factors and automation research as systems increasingly took on tasks whose results people must supervise. In 1997, Lee and See framed trust in automation as a calibratable relationship between a person and a system.
Trust is a working hypothesis: people observe performance, compare it with their own judgment, and adjust how they use the system.
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Trust can make supervision easier and support adoption. Overtrust encourages complacency, while distrust blocks useful assistance; performance and uncertainty must remain visible.
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