Trust in Automation: Integrating Empirical Evidence on Factors That Influence Trust

Catalog evidence and recorded chart appearances. Inclusion is not an endorsement.

Source snapshot imported 2026-10-20. This is not a live feed. Source and contributions.

Evidence and limits

Finding: Trust is shaped by dispositional, situational, and learned factors, so a single end-state trust measure hides materially different causes.

Impact: Strengthen layered trust evidence. Reject trust as a unitary score or direct proxy for appropriate reliance.

Boundary: The review is broad but largely predates current generative assistants. Next: which layers predict actual reliance under changing model and task conditions?

Flags: evidence ends in 2013; trust constructs vary

Record State: Catalog review recorded; not a performance endorsement

What was reviewed: Structure and relevance screened; not a full evaluation

Inspect original source

Recorded chart appearances

No appearance in the chart editions included in this snapshot. This is not evidence of absence from other editions.