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Cited by 23Human-Automation Interaction and SafetyEEG and Brain-Computer InterfacesEmotion and Mood Recognition

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

EEG-Based Mental Workload Assessment During Real Driving

Di Flumeri, Gianluca, Borghini, Gianluca, Aricò, Pietro, Sciaraffa, Nicolina, Lanzi, Paola, Pozzi, Simone, Vignali, Valeria, Lantieri, Claudio, Bichicchi, Arianna, Simone, Andrea, Babiloni, Fabio·2019·Neuroergonomics
DOI 10.1016/b978-0-12-811926-6.00020-8
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Research works printed but not linked: 17

  1. Lees, 2010, Translating cognitive neuroscience to the driver’s operational environment: a neuroergonomics approach, The American Journal of Psychology, 123, 391, 10.5406/amerjpsyc.123.4.0391 · DOI
  2. de Winter, 2014, Effects of adaptive cruise control and highly automated driving on workload and situation awareness: a review of the empirical evidence, Transportation Research F: Traffic Psychology and Behaviour, 27, 196, 10.1016/j.trf.2014.06.016 · DOI
  3. Parasuraman, 2008, Situation awareness, mental workload, and Trust in automation: Viable, Empirically supported cognitive Engineering constructs, Journal of Cognitive Engineering and Decision Making, 2, 140, 10.1518/155534308X284417 · DOI
  4. Paxion, 2014, Mental workload and driving, Frontiers in Psychology, 5, 10.3389/fpsyg.2014.01344 · DOI
  5. Robert, 1997, Compensatory control in the regulation of human performance under stress and high workload: a cognitive-energetical framework, Biological Psychology, 45, 73, 10.1016/S0301-0511(96)05223-4 · DOI · Paper page
  6. Strand, 2014, Semi-automated versus highly automated driving in critical situations caused by automation failures, Transportation Research Part F: Traffic Psychology and Behaviour, 27, 218, 10.1016/j.trf.2014.04.005 · DOI
  7. Aricò, 2016, Adaptive automation triggered by EEG-based mental workload index: a passive brain-Computer interface application in realistic Air traffic control environment, Frontiers in Human Neuroscience, 539
  8. Aricò, 2016, A passive brain-computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks, Progress in Brain Research, 228, 295, 10.1016/bs.pbr.2016.04.021 · DOI · Paper page
  9. Borghini, 2014, Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness, Neuroscience and Biobehavioral Reviews, 44, 58, 10.1016/j.neubiorev.2012.10.003 · DOI
  10. Brookhuis, 2010, Monitoring drivers’ mental workload in driving simulators using physiological measures, Accident Analysis & Prevention, 42, 898, 10.1016/j.aap.2009.06.001 · DOI
  11. Lantieri, 2015, Gateway design assessment in the transition from high to low speed areas, Transportation Research Part F: Traffic Psychology and Behaviour, 34, 41, 10.1016/j.trf.2015.07.017 · DOI
  12. Elul, 1969, Gaussian behavior of the electroencephalogram: changes during performance of mental task, Science (New York, NY), 164, 328, 10.1126/science.164.3877.328 · DOI
  13. Delorme, 2004, EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis, Journal of Neuroscience Methods, 134, 9, 10.1016/j.jneumeth.2003.10.009 · DOI · Paper page
  14. Klimesch, 1999, EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis, Brain Research Brain Research Reviews, 29, 169, 10.1016/S0165-0173(98)00056-3 · DOI · Paper page
  15. Costa, 2014, Looking behavior for vertical road signs, Transportation Research Part F: Traffic Psychology and Behaviour, 23, 147, 10.1016/j.trf.2014.01.003 · DOI
  16. Bamber, 1975, The area above the ordinal dominance graph and the area below the receiver operating characteristic graph, Journal of Mathematical Psychology, 12, 387, 10.1016/0022-2496(75)90001-2 · DOI
  17. Fawcett, 2006, An Introduction to ROC analysis, Pattern Recogn Lett, 27, 861, 10.1016/j.patrec.2005.10.010 · DOI · Paper page

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Metadata

Authors
Di Flumeri, G., Borghini, G., Aricò, P., Sciaraffa, N., Lanzi, P., Pozzi, S., Vignali, V., Lantieri, C., Bichicchi, A., Simone, A., & Babiloni, F.
Affiliations
  • Fondazione Santa Lucia (IT)
  • Deep Blue (Italy) (IT)
  • University of Bologna (IT)
  • Hangzhou Dianzi University (CN)
ORCID
Venue
Neuroergonomics
Publisher
Elsevier
Published
2019
Pages
121-126
DOI
10.1016/b978-0-12-811926-6.00020-8
OpenAlex
W2923249548
Cited by
23
References
1
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 5 · 2020: 6 · 2019: 3
FWCI
18.48
Type
book chapter
Language
en
Open access
closed
Licence
Locations
  • Elsevier eBooks (publishedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
  • IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
Topics
  • Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
Keywords
mental workload, EEG, driving, cognitive demand, real traffic conditions, neuroergonomics, driving performance, driving difficulty

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