Abstract
The goal of this research was to examine potential effects of alarm technology and automation type on decision-making accuracy and bias, as well as to investigate the differences in accuracy and bias in the two information processing stages of the two-stage signal detection theory model developed by Bustamante (2008a). We examined the influence of these factors in conjunction with decision support tools (DSTs) within the context of Unmanned Aerial Systems (UAS). We compared false-alarm prone (FP) and missprone (MP) DSTs equipped with either binary alarm technology (BAT) or likelihood alarm technology (LAT). Results showed that accuracy was greater during the second stage of information processing, especially when individuals interacted with the FP system equipped with LAT. Results also showed that bias was lower when individuals interacted with the FP system equipped with LAT. This insight gained through this research in regards to the relationships between decision-making accuracy and bias with the use of DSTs is important in the design and application of effective DSTs.
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