@inproceedings{b2528ca191d5445e96cec16b88059b77,
title = "Fault diagnosis with multi-state alarms in a nuclear power control simulator",
abstract = "This research addresses how alarm systems can increase operator performance within nuclear power plant operations. The experiment examined the effect of two types of alarm systems (two-state and three-state alarms) on alarm compliance and diagnosis for two types of faults differing in complexity. We hypothesized three-state alarms would improve performance in alarm recognition and fault diagnoses over that of two-state alarms. We used sensitivity and criterion based on Signal Detection Theory to measure performance. We further hypothesized that operator trust would be highest when using three-state alarms. The findings from this research showed participants performed better and had more trust in three-state alarms compared to two-state alarms. Furthermore, these findings have significant theoretical implications and practical applications as they apply to improving the efficiency and effectiveness of nuclear power plant operations.",
author = "Austin Ragsdale and Roger Lew and Dyre, {Brian P.} and Boring, {Ronald L.}",
year = "2012",
doi = "10.1177/1071181312561458",
language = "English",
isbn = "9780945289418",
series = "Proceedings of the Human Factors and Ergonomics Society",
pages = "2167--2171",
booktitle = "Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012",
note = "Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012 ; Conference date: 22-10-2012 Through 26-10-2012",
}