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Scan-based eye tracking measures are predictive of workload transition performance.

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Title: Scan-based eye tracking measures are predictive of workload transition performance.
Authors: Devlin SP; U.S. Naval Research Laboratory, Washington, D.C, USA; University of Virginia, Charlottesville, VA, USA. Electronic address: shannon.devlin@nrl.navy.mil., Brown NL; U.S. Naval Research Laboratory, Washington, D.C, USA., Drollinger S; U.S. Naval Aerospace Medical Institute, Pensacola, FL, USA., Sibley C; U.S. Naval Research Laboratory, Washington, D.C, USA., Alami J; University of Virginia, Charlottesville, VA, USA., Riggs SL; University of Virginia, Charlottesville, VA, USA.
Source: Applied ergonomics [Appl Ergon] 2022 Nov; Vol. 105, pp. 103829. Date of Electronic Publication: 2022 Aug 02.
Publication Type: Journal Article
Journal Info: Publisher: Butterworth-Heinemann Country of Publication: England NLM ID: 0261412 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-9126 (Electronic) Linking ISSN: 00036870 NLM ISO Abbreviation: Appl Ergon Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Scan-based eye tracking measures are predictive of workload transition performance.
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  Data: <searchLink fieldCode="AU" term="%22Devlin+SP%22">Devlin SP</searchLink>; U.S. Naval Research Laboratory, Washington, D.C, USA; University of Virginia, Charlottesville, VA, USA. Electronic address: shannon.devlin@nrl.navy.mil.<br /><searchLink fieldCode="AU" term="%22Brown+NL%22">Brown NL</searchLink>; U.S. Naval Research Laboratory, Washington, D.C, USA.<br /><searchLink fieldCode="AU" term="%22Drollinger+S%22">Drollinger S</searchLink>; U.S. Naval Aerospace Medical Institute, Pensacola, FL, USA.<br /><searchLink fieldCode="AU" term="%22Sibley+C%22">Sibley C</searchLink>; U.S. Naval Research Laboratory, Washington, D.C, USA.<br /><searchLink fieldCode="AU" term="%22Alami+J%22">Alami J</searchLink>; University of Virginia, Charlottesville, VA, USA.<br /><searchLink fieldCode="AU" term="%22Riggs+SL%22">Riggs SL</searchLink>; University of Virginia, Charlottesville, VA, USA.
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  Data: <searchLink fieldCode="JN" term="%220261412%22">Applied ergonomics</searchLink> [Appl Ergon] 2022 Nov; Vol. 105, pp. 103829. <i>Date of Electronic Publication: </i>2022 Aug 02.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Butterworth-Heinemann%22">Butterworth-Heinemann </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0261412 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1872-9126 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200036870%22">00036870 </searchLink><i>NLM ISO Abbreviation: </i>Appl Ergon <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.apergo.2022.103829
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      – Code: eng
        Text: English
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              Text: 2022 Nov
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