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. |
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| 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 |
| ISSN: | 1872-9126 |
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| DOI: | 10.1016/j.apergo.2022.103829 |
