Addressing alarm flood situations in the process industries through alarm summary display design and alarm response strategy

A guide for assessing control room operator performance using speed and accuracy, perceived workload, situation awareness, and eye tracking

“…Furthermore, the majority of the published research focuses on the nuclear industry, though many characteristics of nuclear energy control rooms can apply to the petrochemical industry. For instance, the three papers evaluating display design in the petrochemical industry (Adhitya et al, 2014;Jamieson, 2007;Laberge et al, 2014) all evaluated speed and accuracy but did not include performance-shaping measures that could explain those outcomes. In the nuclear industry domain, a few researchers have combined speed and accuracy measurement with workload ratings and SA measurement (e.g., Huang et al, 2007;Yang et al, 2012).…”

“…Speed is the time taken by an operator to complete an activity, and accuracy is a measure of either correct steps or errors. Measures of speed and accuracy have been used in evaluations of alarm display designs in the chemical and petrochemical industries as performance indicators (Adhitya et al, 2014;Jamieson, 2007;Laberge et al, 2014). …”

Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction

“…Folmer et al [15] present a system called Automatic Alarm Data Analyzer (AADA) that use machine learning algorithms to reduce alarm floods and a three-dimensional visualization to show only the most important information to an operator. In a similar way, Laberge et al [24] analyzed different alarm summary display designs for the visualization of complex error situations. They compared a list-based presentation with a time-series presentation showing icons and summarized descriptions.…”

A local alignment approach to similarity analysis of industrial alarm flood sequences

“…To help operators to concentrate on most important alarms during alarm floods, an alarm prioritization system was presented to prioritize alarms by calculating the severity of each alarm based on fuzzy-logic rules (Foong, Sulaiman, Rambli, & Abdullah, 2009). Some new alarm presentation techniques were proposed to ease operators the understanding of alarm floods by showing alarmsin time series together with short alarm descriptions (Laberge, Bullermer, Tolsma, & Reising, 2014).…”