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Sensitivity, Bias, and Mental Workload in a Multitasking Environment

  • Monika Putri
  • Xiaonan Yang
  • Jung Hyup KimEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9736)

Abstract

In this paper, we used signal detection theory (SDT) as a tool to evaluate human performance in a multitasking environment. The primary objective of using SDT is to assess an operator’s sensitivity (d’) and bias (β). In addition, NASA-TLX was used to measure participants’ workload under different complexity scenarios. During the experiment, participants were asked to detect abnormal and alarm signals on a gauge monitoring display. They also needed to perform multi-attribute task battery (MATB) tasks at the same time. The gauge-monitoring screen contains total 52 gauges (flow, level, temperature, and pressure). The MATB consists of system monitoring, target tracking, and dynamic resource management. The results of this study demonstrate that participants showed various levels of sensitivity (d’) in the gauge-monitoring task based on the degree of task complexity.

Keywords

Signal detection theory Human-in-the-loop simulation Mental workload 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Industrial and Manufacturing Systems EngineeringUniversity of MissouriColumbiaUSA

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