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An Investigation of Human Error Identification Based on Bio-monitoring System (EEG and ECG Analysis)

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Advances in Neuroergonomics and Cognitive Engineering (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 775))

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Abstract

Human error has been a critical issue at Nuclear Power Plants (NPP) as it accounts for a significant proportion of safety-related incidents. The objective of this research is to investigate the feasibility of using a bio-monitoring system (EEG and ECG) to predict and thereby minimize the risk of human error at NPPs. Ten subjects (8 male 2 female) with a mean age of 25 years participated in the experiment. Specifically, the Stroop test was used to measure each participant’s accuracy in judgement and reaction time, in answering congruent and incongruent questions. Using these data, both heart rate and brain waves were recorded and analyzed via a power spectrum analysis, EEG and ECG indicators were investigated to determine their potential for identifying human error.

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Authors and Affiliations

  1. Nuclear Energy Environment and Nuclear Security Laboratory, Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291, Daehak-ro, Yuseong-gu, Daejeon, Republic of Korea

    Jung Hwan Kim, Young-A Suh & Man-Sung Yim

Authors
  1. Jung Hwan Kim
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  2. Young-A Suh
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  3. Man-Sung Yim
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Corresponding author

Correspondence to Man-Sung Yim .

Editor information

Editors and Affiliations

  1. Drexel University, Philadelphia, Pennsylvania, USA

    Hasan Ayaz

  2. University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA

    Lukasz Mazur

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Kim, J.H., Suh, YA., Yim, MS. (2019). An Investigation of Human Error Identification Based on Bio-monitoring System (EEG and ECG Analysis). In: Ayaz, H., Mazur, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 775. Springer, Cham. https://doi.org/10.1007/978-3-319-94866-9_14

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