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A safety-critical decision support system evaluation using situation awareness and workload measures

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  • Naderpour, Mohsen
  • Lu, Jie
  • Zhang, Guangquan

Abstract

To ensure the safety of operations in safety-critical systems, it is necessary to maintain operators׳ situation awareness (SA) at a high level. A situation awareness support system (SASS) has therefore been developed to handle uncertain situations [1]. This paper aims to systematically evaluate the enhancement of SA in SASS by applying a multi-perspective approach. The approach consists of two SA metrics, SAGAT and SART, and one workload metric, NASA-TLX. The first two metrics are used for the direct objective and subjective measurement of SA, while the third is used to estimate operator workload. The approach is applied in a safety-critical environment called residue treater, located at a chemical plant in which a poor human-system interface reduced the operator׳s SA and caused one of the worst accidents in US history. A counterbalanced within-subjects experiment is performed using a virtual environment interface with and without the support of SASS. The results indicate that SASS improves operators׳ SA, and specifically has benefits for SA levels 2 and 3. In addition, it is concluded that SASS reduces operator workload, although further investigations in different environments with a larger number of participants have been suggested.

Suggested Citation

  • Naderpour, Mohsen & Lu, Jie & Zhang, Guangquan, 2016. "A safety-critical decision support system evaluation using situation awareness and workload measures," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 147-159.
    • Handle: RePEc:eee:reensy:v:150:y:2016:i:c:p:147-159
    DOI: 10.1016/j.ress.2016.01.024
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    References listed on IDEAS

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    1. Naderpour, Mohsen & Lu, Jie & Zhang, Guangquan, 2015. "An abnormal situation modeling method to assist operators in safety-critical systems," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 33-47.
    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    3. Monferini, A. & Konstandinidou, M. & Nivolianitou, Z. & Weber, S. & Kontogiannis, T. & Kafka, P. & Kay, A.M. & Leva, M.C. & Demichela, M., 2013. "A compound methodology to assess the impact of human and organizational factors impact on the risk level of hazardous industrial plants," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 280-289.
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