Return-to-Manual Performance can be Predicted Before Automation Fails.
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| Title: | Return-to-Manual Performance can be Predicted Before Automation Fails. |
|---|---|
| Authors: | Griffiths, Natalie1, natalie.griffiths@research.uwa.edu.au, Bowden, Vanessa1, Wee, Serena1, Loft, Shayne1 |
| Source: | Human Factors; May2024, Vol. 66 Issue 5, p1333-1349, 17p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 176065151 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176065151 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/00187208221147105 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1333 Titles: – TitleFull: Return-to-Manual Performance can be Predicted Before Automation Fails. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Griffiths, Natalie – PersonEntity: Name: NameFull: Bowden, Vanessa – PersonEntity: Name: NameFull: Wee, Serena – PersonEntity: Name: NameFull: Loft, Shayne IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00187208 Numbering: – Type: volume Value: 66 – Type: issue Value: 5 Titles: – TitleFull: Human Factors Type: main |
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