Print Email Facebook Twitter Change detection support for supervisory controllers of highly automated systems: Effects on performance, mental workload, and recovery of situation awareness following interruptions Title Change detection support for supervisory controllers of highly automated systems: Effects on performance, mental workload, and recovery of situation awareness following interruptions Author van der Kleij, R. Hueting, T.F. Schraagen, J.M.C. Publication year 2018 Abstract Dynamic Positioning (DP) is a computer-controlled process to automatically keep a floating vessel at a specific position or to follow a pre-defined path (tracking) by using its own propellers and thrusters. The human supervisory controller has no direct need to constantly know what the status is of all parts of the automation and the system it is controlling, because the highly automated DPS is controlling all components itself. Only after a failure arises, the operator needs to take over manual control and take appropriate action(s) to prevent the failure from harming the operation. As the supervisory controller may be out of the loop, swiftly taking over control may be problematic when failures arise. The purpose of the current study was to investigate whether automation of change detection enables human operators with low awareness of the automation and the system it is controlling to quickly recover awareness in emergency take-over situations. A 2 by 2 within subjects experiment was conducted using a DP simulation (n = 22). Within-subjects factors were support (Yes, No) and interruption (Yes, No). Results showed that change detection support helps in the process of recovering situation awareness after it has been reduced, due to an interruption of the primary task of overseeing the automation. Interestingly, support was not beneficial to the participants in all conditions. In non-interrupted conditions the support unexpectedly resulted in higher workload, raising questions whether supervisory controllers should be supported continuously or only when it is required. Relevance to industry: The results show that change detection support has potential value in operational maritime environments, especially in situations where the DP operator has low situation awareness. Future research should investigate whether adaptive aiding could alleviate some of the negative effects of non-adaptive operator support in maritime environments. © 2018 Subject Dynamic positioningHuman-automation collaborationManagement-by-exceptionOut-of-the-loop (OOTL) performance problemSituation Awareness Recovery (SAR)AutomationControllersRecoverySailing vesselsAdaptive operatorsAutomated systemsControlled processMaritime environmentPerformance problemsSituation awarenessSupervisory controllersProcess controlAdultAutomationChange detection supportComputer simulationdecision makingDynamic positioning systemErgonomicsFemaleHumanHuman computer interactionHuman experimentHuman supervisory controllerInformation processingMaleManagementMental workloadPriority journalDupervised machine learningTask performanceWork environmentWorkload To reference this document use: http://resolver.tudelft.nl/uuid:b9947eda-c736-4866-859e-7543558cbaa1 DOI https://doi.org/10.1016/j.ergon.2018.02.010 TNO identifier 787794 ISSN 0169-8141 Source International Journal of Industrial Ergonomics, 66, 75-84 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.