Abstract
Human performance in computer-aided system has engrossed inevitably human issues in cognitive functioning. The present endeavor focuses on the associated influence of training, automation reliability on the monitoring performance and workload in multi-task ambience. MAT battery was utilized with engine-system monitoring, two dimensional tracking, and fuel resource management tasks were the concerned elements, in which only system engine-monitoring task was automated in the training as well as in the final test sessions. A 2 x 2 x 2 x 3, mixed factorial design was employed. Monitoring performance, false alarms, reaction time and root mean square error performance were recorded as dependent measures. Results revealed that automation-induced complacency might be the feature of multi-task condition where subjects detected automation failures under high static system reliability. Results further showed that mental workload significantly reduced from pre- to post-sessions.
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Singh, I.L., Singh, A.L., Saha, P.K. (2007). Monitoring Performance and Mental Workload in an Automated System. In: Harris, D. (eds) Engineering Psychology and Cognitive Ergonomics. EPCE 2007. Lecture Notes in Computer Science(), vol 4562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73331-7_47
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DOI: https://doi.org/10.1007/978-3-540-73331-7_47
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