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Description of Diagnosis Process: A Review of Existing Measures and a New Approach

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Advances in Human Error, Reliability, Resilience, and Performance (AHFE 2017)

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Abstract

Human diagnosis receives increasing concern in many industries. Researchers need to properly describe the process of diagnosis before trying to analyze or improve human diagnostic performance. This study reviews the existing ways to describe the process of diagnosis and summarizes them in terms of three sub-processes of diagnosis, i.e. hypothesis generation, information seeking, and information integration. Then a new approach is proposed, drawing ideas from information entropy and fuzzy signal detection theory. The proposed approach serves to describe information seeking and information integration with more precision.

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Acknowledgements

This study was supported by the National Natural Science Foundation of China (Project no. 71371104).

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Authors and Affiliations

  1. Department of Industrial Engineering, Tsinghua University, 100084, Beijing, China

    Xi Lyu & Zhizhong Li

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  1. Xi Lyu
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  2. Zhizhong Li
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Correspondence to Xi Lyu .

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  1. Idaho National Laboratory, Idaho Falls, Idaho, USA

    Ronald Laurids Boring

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Lyu, X., Li, Z. (2018). Description of Diagnosis Process: A Review of Existing Measures and a New Approach. In: Boring, R. (eds) Advances in Human Error, Reliability, Resilience, and Performance. AHFE 2017. Advances in Intelligent Systems and Computing, vol 589. Springer, Cham. https://doi.org/10.1007/978-3-319-60645-3_34

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  • DOI: https://doi.org/10.1007/978-3-319-60645-3_34

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-60645-3

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