User Image Mismatch in Anesthesia Alarms: A Cognitive Systems Analysis
In this study, principles of Cognitive Systems Engineering are used to better understand the human–machine interaction manifesting in the use of anaesthesia alarms. The hypothesis is that the design of the machine incorporates built-in assumptions of the user that are discrepant with the anaesthesiologist's self-assessment, creating ‘user image mismatch’. Mismatch was interpreted by focusing on th