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Past research concerning decision support tools has primarily focused on either false-alarm prone (FP) or miss-prone (MP) automation. Some studies have explored performance disparities of binary versus likelihood alarm technology (BAT vs. LAT) but only in FP automation. The goal of this study was to explore differential effects of alarm technology and FP vs. MP automation on human decision-making accuracy. One-hundred university students performed a low-fidelity uninhabited aerial vehicle flight simulation, composed of two primary flight tasks and an automation-aided secondary weapon-deployment task. As expected, participants' decision-making accuracy was highest when using LAT, specifically with FP prone automation. These findings provide support for incorporating LAT into FP prone automation to enhance human decision-making accuracy.
Clark et al. (Thu,) studied this question.