Sensitivity, bias, and mental workload in a multitasking environment

Monika Putri; Xiaonan Yang; Jung Hyup Kim

doi:10.1007/978-3-319-40030-3_2

Sensitivity, bias, and mental workload in a multitasking environment

Monika Putri, Xiaonan Yang, Jung Hyup Kim^*

^*Corresponding author for this work

University of Missouri-Columbia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Engineering Psychology and Cognitive Ergonomics - 13th International Conference, EPCE 2016 and Held as Part of HCI International 2016, Proceedings
Editors	Don Harris
Publisher	Springer Verlag
Pages	10-18
Number of pages	9
ISBN (Print)	9783319400297
DOIs	https://doi.org/10.1007/978-3-319-40030-3_2
Publication status	Published - 2016
Externally published	Yes
Event	13th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada Duration: 17 Jul 2016 → 22 Jul 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9736
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016
Country/Territory	Canada
City	Toronto
Period	17/07/16 → 22/07/16

Keywords

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

Access to Document

10.1007/978-3-319-40030-3_2

Cite this

Putri, M., Yang, X., & Kim, J. H. (2016). Sensitivity, bias, and mental workload in a multitasking environment. In D. Harris (Ed.), Engineering Psychology and Cognitive Ergonomics - 13th International Conference, EPCE 2016 and Held as Part of HCI International 2016, Proceedings (pp. 10-18). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9736). Springer Verlag. https://doi.org/10.1007/978-3-319-40030-3_2

Putri, Monika ; Yang, Xiaonan ; Kim, Jung Hyup. / Sensitivity, bias, and mental workload in a multitasking environment. Engineering Psychology and Cognitive Ergonomics - 13th International Conference, EPCE 2016 and Held as Part of HCI International 2016, Proceedings. editor / Don Harris. Springer Verlag, 2016. pp. 10-18 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Sensitivity, bias, and mental workload in a multitasking environment",

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{\textquoteright}s sensitivity (d{\textquoteright}) and bias (β). In addition, NASA-TLX was used to measure participants{\textquoteright} 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{\textquoteright}) in the gauge-monitoring task based on the degree of task complexity.",

keywords = "Human-in-the-loop simulation, Mental Workload, Signal detection theory",

author = "Monika Putri and Xiaonan Yang and Kim, {Jung Hyup}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 13th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016 ; Conference date: 17-07-2016 Through 22-07-2016",

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doi = "10.1007/978-3-319-40030-3_2",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Putri, M, Yang, X & Kim, JH 2016, Sensitivity, bias, and mental workload in a multitasking environment. in D Harris (ed.), Engineering Psychology and Cognitive Ergonomics - 13th International Conference, EPCE 2016 and Held as Part of HCI International 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9736, Springer Verlag, pp. 10-18, 13th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016, Toronto, Canada, 17/07/16. https://doi.org/10.1007/978-3-319-40030-3_2

Sensitivity, bias, and mental workload in a multitasking environment. / Putri, Monika; Yang, Xiaonan; Kim, Jung Hyup.
Engineering Psychology and Cognitive Ergonomics - 13th International Conference, EPCE 2016 and Held as Part of HCI International 2016, Proceedings. ed. / Don Harris. Springer Verlag, 2016. p. 10-18 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9736).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Sensitivity, bias, and mental workload in a multitasking environment

AU - Putri, Monika

AU - Yang, Xiaonan

AU - Kim, Jung Hyup

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Y2 - 17 July 2016 through 22 July 2016

ER -

Putri M, Yang X, Kim JH. Sensitivity, bias, and mental workload in a multitasking environment. In Harris D, editor, Engineering Psychology and Cognitive Ergonomics - 13th International Conference, EPCE 2016 and Held as Part of HCI International 2016, Proceedings. Springer Verlag. 2016. p. 10-18. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-40030-3_2

Sensitivity, bias, and mental workload in a multitasking environment

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