Measuring Individual Differences in the Perfect Automation Schema.

Objective: A self-report measure of the perfect automation schema (PAS) is developed and tested.

Background: Researchers have hypothesized that the extent to which users possess a PAS is associated with greater decreases in trust after users encounter automation errors. However, no measure of the PAS currently exists.

Are well-calibrated users effective users? Associations between calibration of trust and performance on an automation-aided task.

Objective: We present alternative operationalizations of trust calibration and examine their associations with predictors and outcomes.

Background: It is thought that trust calibration (correspondence between aid reliability and user trust in the aid) is a key to effective human-automation performance. We propose that calibration can be operationalized in three ways.