Progress towards the development of a model for predicting human reliability.
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| Title: | Progress towards the development of a model for predicting human reliability. |
|---|---|
| Authors: | Strutt, J. E.1, Wei-Whua Loa1, Allsopp, K.1 |
| Source: | Quality & Reliability Engineering International. Jan1998, Vol. 14 Issue 1, p3-14. 12p. 5 Diagrams, 6 Charts, 6 Graphs. |
| Subjects: | Risk assessment, Evaluation, Reliability (Personality trait), Performance, Engineering |
| Abstract: | A methodology for predicting the probability of human task reliability during a task sequence is described. The method is based on a probabilistic performance requirement–resource consumption model. This enables error-promoting conditions in accident scenarios to be modelled explicitly and a time-dependent probability of error to be estimated. Particular attention is paid to modelling success arising from underlying human learning processes and the impact of limited resources. The paper describes the principles of the method together with an example related to safety and risk of a diver in the wreck scenario. © 1998 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR] |
| Copyright of Quality & Reliability Engineering International is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 13380820 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Progress towards the development of a model for predicting human reliability. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Strutt%2C+J%2E+E%2E%22">Strutt, J. E.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wei-Whua+Loa%22">Wei-Whua Loa</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Allsopp%2C+K%2E%22">Allsopp, K.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Quality+%26+Reliability+Engineering+International%22">Quality & Reliability Engineering International</searchLink>. Jan1998, Vol. 14 Issue 1, p3-14. 12p. 5 Diagrams, 6 Charts, 6 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation%22">Evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+%28Personality+trait%29%22">Reliability (Personality trait)</searchLink><br /><searchLink fieldCode="DE" term="%22Performance%22">Performance</searchLink><br /><searchLink fieldCode="DE" term="%22Engineering%22">Engineering</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A methodology for predicting the probability of human task reliability during a task sequence is described. The method is based on a probabilistic performance requirement–resource consumption model. This enables error-promoting conditions in accident scenarios to be modelled explicitly and a time-dependent probability of error to be estimated. Particular attention is paid to modelling success arising from underlying human learning processes and the impact of limited resources. The paper describes the principles of the method together with an example related to safety and risk of a diver in the wreck scenario. © 1998 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Quality & Reliability Engineering International is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=13380820 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/(SICI)1099-1638(199801/02)14:1<3::AID-QRE120>3.0.CO;2-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 3 Subjects: – SubjectFull: Risk assessment Type: general – SubjectFull: Evaluation Type: general – SubjectFull: Reliability (Personality trait) Type: general – SubjectFull: Performance Type: general – SubjectFull: Engineering Type: general Titles: – TitleFull: Progress towards the development of a model for predicting human reliability. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Strutt, J. E. – PersonEntity: Name: NameFull: Wei-Whua Loa – PersonEntity: Name: NameFull: Allsopp, K. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan1998 Type: published Y: 1998 Identifiers: – Type: issn-print Value: 07488017 Numbering: – Type: volume Value: 14 – Type: issue Value: 1 Titles: – TitleFull: Quality & Reliability Engineering International Type: main |
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