The Measurement of Knowledge Worker Fatigue.
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| Title: | The Measurement of Knowledge Worker Fatigue. |
|---|---|
| Authors: | Okogbaa, O. Geoffrey1, Shell, Richard L.1 |
| Source: | IIE Transactions. Dec86, Vol. 18 Issue 4, p335-342. 8p. |
| Subjects: | Computers, Work design, Fatigue (Physiology), Performance evaluation, Work environment, Labor supply |
| Abstract: | Current technological breakthroughs in the areas of digital computers and electronics and the increase in the use of automated work systems mean increased mental demands and fatigue for a large segment of the workforce. In order to determine relationships between worker mental output (performance) and the resulting fatigue, a five hour laboratory experiment was conducted. The experiment was run under two types of working conditions (Rest/ No Rest). The performance measures of interest were work output, heart rate and brain wave activity. The results supported the notion of performance deterioration due to mental fatigue. In addition, the results showed a significant difference between output for rest versus no rest task conditions. [ABSTRACT FROM AUTHOR] |
| Copyright of IIE Transactions is the property of Taylor & Francis Ltd 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: 17541130 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Measurement of Knowledge Worker Fatigue. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Okogbaa%2C+O%2E+Geoffrey%22">Okogbaa, O. Geoffrey</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shell%2C+Richard+L%2E%22">Shell, Richard L.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IIE+Transactions%22">IIE Transactions</searchLink>. Dec86, Vol. 18 Issue 4, p335-342. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Computers%22">Computers</searchLink><br /><searchLink fieldCode="DE" term="%22Work+design%22">Work design</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+%28Physiology%29%22">Fatigue (Physiology)</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+evaluation%22">Performance evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Work+environment%22">Work environment</searchLink><br /><searchLink fieldCode="DE" term="%22Labor+supply%22">Labor supply</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Current technological breakthroughs in the areas of digital computers and electronics and the increase in the use of automated work systems mean increased mental demands and fatigue for a large segment of the workforce. In order to determine relationships between worker mental output (performance) and the resulting fatigue, a five hour laboratory experiment was conducted. The experiment was run under two types of working conditions (Rest/ No Rest). The performance measures of interest were work output, heart rate and brain wave activity. The results supported the notion of performance deterioration due to mental fatigue. In addition, the results showed a significant difference between output for rest versus no rest task conditions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IIE Transactions is the property of Taylor & Francis Ltd 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=17541130 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/07408178608975353 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 335 Subjects: – SubjectFull: Computers Type: general – SubjectFull: Work design Type: general – SubjectFull: Fatigue (Physiology) Type: general – SubjectFull: Performance evaluation Type: general – SubjectFull: Work environment Type: general – SubjectFull: Labor supply Type: general Titles: – TitleFull: The Measurement of Knowledge Worker Fatigue. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Okogbaa, O. Geoffrey – PersonEntity: Name: NameFull: Shell, Richard L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec86 Type: published Y: 1986 Identifiers: – Type: issn-print Value: 0740817X Numbering: – Type: volume Value: 18 – Type: issue Value: 4 Titles: – TitleFull: IIE Transactions Type: main |
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