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Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control
Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control
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Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control

Eriksson, Alexander ; Stanton, Neville A.

Human factors, 2017-06, Vol.59 (4), p.689-705 [Periódico revisado por pares]

Los Angeles, CA: SAGE Publications

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2
Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations
Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations
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Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations

Arndt, Brian G ; Beasley, John W ; Watkinson, Michelle D ; Temte, Jonathan L ; Tuan, Wen-Jan ; Sinsky, Christine A ; Gilchrist, Valerie J

Annals of family medicine, 2017-09, Vol.15 (5), p.419-426 [Periódico revisado por pares]

United States: American Academy of Family Physicians

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3
Prevalence of burnout risk and factors associated with burnout risk among ICU nurses during the COVID-19 outbreak in French speaking Belgium
Prevalence of burnout risk and factors associated with burnout risk among ICU nurses during the COVID-19 outbreak in French speaking Belgium
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Prevalence of burnout risk and factors associated with burnout risk among ICU nurses during the COVID-19 outbreak in French speaking Belgium

Bruyneel, Arnaud ; Smith, Pierre ; Tack, Jérôme ; Pirson, Magali

Intensive & critical care nursing, 2021-08, Vol.65, p.103059-103059, Article 103059 [Periódico revisado por pares]

Netherlands: Elsevier Ltd

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4
Measuring mental workload with the NASA-TLX needs to examine each dimension rather than relying on the global score: an example with driving
Measuring mental workload with the NASA-TLX needs to examine each dimension rather than relying on the global score: an example with driving
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Measuring mental workload with the NASA-TLX needs to examine each dimension rather than relying on the global score: an example with driving

Galy, Edith ; Paxion, Julie ; Berthelon, Catherine

Ergonomics, 2018-04, Vol.61 (4), p.517-527 [Periódico revisado por pares]

England: Taylor & Francis

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5
The association between janitor physical workload, mental workload, and stress: The SWEEP study
The association between janitor physical workload, mental workload, and stress: The SWEEP study
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The association between janitor physical workload, mental workload, and stress: The SWEEP study

Schwartz, Adam ; Gerberich, Susan Goodwin ; Albin, Thomas ; Kim, Hyun ; Ryan, Andrew D ; Church, Timothy R ; Green, Deirdre R ; McGovern, Patricia M ; Erdman, Arthur G ; Arauz, Rony F

Work (Reading, Mass.), 2020-01, Vol.65 (4), p.837-846 [Periódico revisado por pares]

Netherlands: IOS Press BV

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6
Low back pain, work overload, and associated factors among hospital caregivers
Low back pain, work overload, and associated factors among hospital caregivers
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Low back pain, work overload, and associated factors among hospital caregivers

Medeni, Volkan ; Tokatlı Doğan, Merve ; Medeni, İrem ; Uğraş Dikmen, Asiye ; İlhan, Mustafa Necmi Jacobs, Karen ; Soer, Remko

Work (Reading, Mass.), 2024-01, Vol.78 (1), p.167-179 [Periódico revisado por pares]

Netherlands

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7
Quantitative and qualitative workload assessment in steep terrain forest operations: fostering a safer work environment through yarder automation
Quantitative and qualitative workload assessment in steep terrain forest operations: fostering a safer work environment through yarder automation
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Quantitative and qualitative workload assessment in steep terrain forest operations: fostering a safer work environment through yarder automation

Ottaviani Aalmo, Giovanna ; Spinelli, Raffaele ; Magagnotti, Natascia ; Visser, Rien

Ergonomics, 2023-06, Vol.66 (6), p.717-729 [Periódico revisado por pares]

England: Taylor & Francis

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8
Learning Spatial-Spectral-Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment
Learning Spatial-Spectral-Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment
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Learning Spatial-Spectral-Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment

Zhang, Pengbo ; Wang, Xue ; Zhang, Weihang ; Chen, Junfeng

IEEE transactions on neural systems and rehabilitation engineering, 2019-01, Vol.27 (1), p.31-42 [Periódico revisado por pares]

United States: IEEE

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9
Comparison of NASA-TLX scale, modified Cooper-Harper scale and mean inter-beat interval as measures of pilot mental workload during simulated flight tasks
Comparison of NASA-TLX scale, modified Cooper-Harper scale and mean inter-beat interval as measures of pilot mental workload during simulated flight tasks
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Comparison of NASA-TLX scale, modified Cooper-Harper scale and mean inter-beat interval as measures of pilot mental workload during simulated flight tasks

Mansikka, Heikki ; Virtanen, Kai ; Harris, Don

Ergonomics, 2019-02, Vol.62 (2), p.246-254 [Periódico revisado por pares]

England: Taylor & Francis

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10
Implementation of 2011 Duty Hours Regulations through a Workload Reduction Strategy and Impact on Residency Training
Implementation of 2011 Duty Hours Regulations through a Workload Reduction Strategy and Impact on Residency Training
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Implementation of 2011 Duty Hours Regulations through a Workload Reduction Strategy and Impact on Residency Training

Thorp, Jonathon ; Dattalo, Melissa ; Ghanem, Khalil G. ; Christmas, Colleen

Journal of general internal medicine : JGIM, 2016-12, Vol.31 (12), p.1475-1481 [Periódico revisado por pares]

New York: Springer US

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