Mental Workload Monitoring: New Perspectives from Neuroscience
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[1] Thibault Gateau,et al. Auditory Alarm Misperception in the Cockpit: An EEG Study of Inattentional Deafness , 2016, HCI.
[2] A. Coenen,et al. Mental effort affects vigilance enduringly: after-effects in EEG and behavior. , 2004, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[3] Lolita Rapolienė,et al. The Reduction of Distress Using Therapeutic Geothermal Water Procedures in a Randomized Controlled Clinical Trial , 2015, Advances in preventive medicine.
[4] J. Reason. Human error: models and management , 2000, BMJ : British Medical Journal.
[5] Kilseop Ryu,et al. Evaluation of mental workload with a combined measure based on physiological indices during a dual task of tracking and mental arithmetic , 2005 .
[6] Raúl Rojas,et al. Semi-autonomous Car Control Using Brain Computer Interfaces , 2012, IAS.
[7] Scott A. Shappell,et al. The Human Factors Analysis and Classification System : HFACS : final report. , 2000 .
[8] Tzyy-Ping Jung,et al. Biosensor Technologies for Augmented Brain–Computer Interfaces in the Next Decades , 2012, Proceedings of the IEEE.
[9] R. Yerkes,et al. The relation of strength of stimulus to rapidity of habit‐formation , 1908 .
[10] Fabio Babiloni,et al. Human Factors and Neurophysiological Metrics in Air Traffic Control: A Critical Review , 2017, IEEE Reviews in Biomedical Engineering.
[11] Luca Longo,et al. Inferential Models of Mental Workload with Defeasible Argumentation and Non-monotonic Fuzzy Reasoning: a Comparative Study , 2018, AI³@AI*IA.
[12] Stefan Haufe,et al. The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology , 2010, Front. Neurosci..
[13] Fabio Babiloni,et al. Monitoring Pilot's Cognitive Fatigue with Engagement Features in Simulated and Actual Flight Conditions Using an Hybrid fNIRS-EEG Passive BCI , 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[14] Laura Astolfi,et al. Frontal EEG theta changes assess the training improvements of novices in flight simulation tasks , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[15] Fabio Babiloni,et al. EEG-based Approach-Withdrawal index for the pleasantness evaluation during taste experience in realistic settings , 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[16] Cyril R. Pernet,et al. Misconceptions in the use of the General Linear Model applied to functional MRI: a tutorial for junior neuro-imagers , 2014, Front. Neurosci..
[17] Febo Cincotti,et al. Towards a multimodal bioelectrical framework for the online mental workload evaluation , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[18] M. Arango,et al. Near-infrared spectroscopy as an index of brain and tissue oxygenation. , 2009, British journal of anaesthesia.
[19] L. Giraudet,et al. The neuroergonomic evaluation of human machine interface design in air traffic control using behavioral and EEG/ERP measures , 2015, Behavioural Brain Research.
[20] Aidan Byrne,et al. Mental Workload as an Outcome in Medical Education , 2017, H-WORKLOAD.
[21] R. Gibberd,et al. The Quality in Australian Health Care Study , 1995, The Medical journal of Australia.
[22] D. Kirsh. A Few Thoughts on Cognitive Overload , 2000 .
[23] Gérard Dray,et al. NIRS-measured prefrontal cortex activity in neuroergonomics: strengths and weaknesses , 2013, Front. Hum. Neurosci..
[24] Paolo Fiorini,et al. Neurophysiological measures for users' training objective assessment during simulated robot-assisted laparoscopic surgery , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[25] S. Fairclough,et al. The influence of performance feedback on goal-setting and mental effort regulation , 2009 .
[26] Edward J Calabrese,et al. Neuroscience and Hormesis: Overview and General Findings , 2008, Critical reviews in toxicology.
[27] Fabio Babiloni,et al. Passive BCI in Operational Environments: Insights, Recent Advances, and Future Trends , 2017, IEEE Transactions on Biomedical Engineering.
[28] R. E. Richards,et al. Structured methods for identifying and correcting potential human errors in space operations. , 1998, Acta astronautica.
[29] Luca Longo,et al. Analysing the Impact of Machine Learning to Model Subjective Mental Workload: A Case Study in Third-Level Education , 2018, H-WORKLOAD.
[30] A. Wall,et al. Book ReviewTo Err is Human: building a safer health system Kohn L T Corrigan J M Donaldson M S Washington DC USA: Institute of Medicine/National Academy Press ISBN 0 309 06837 1 $34.95 , 2000 .
[31] Christophe Debruyne,et al. On the Mental Workload Assessment of Uplift Mapping Representations in Linked Data , 2018, H-WORKLOAD.
[32] Paul M. Salmon,et al. Human Error and Road Transport: Phase One – Literature Review , 2005 .
[33] Fabio Babiloni,et al. A New Perspective for the Training Assessment: Machine Learning-Based Neurometric for Augmented User's Evaluation , 2017, Front. Neurosci..
[34] Mark W. Scerbo,et al. Theoretical Perspectives on Adaptive Automation , 2019, Human Performance in Automated and Autonomous Systems.
[35] Nicholas J Ward,et al. A systems analysis of the Ladbroke Grove rail crash. , 2005, Accident; analysis and prevention.
[36] F. Thomas Eggemeier,et al. Workload assessment methodology. , 1986 .
[37] Luca Longo,et al. Representing and Inferring Mental Workload via Defeasible Reasoning: A Comparison with the NASA Task Load Index and the Workload Profile , 2017, AI³@AI*IA.
[38] Maria Chiara Leva,et al. An Empirical Approach to Workload and Human Capability Assessment in a Manufacturing Plant , 2018, H-WORKLOAD.
[39] Thorsten O. Zander,et al. Utilizing Secondary Input from Passive Brain-Computer Interfaces for Enhancing Human-Machine Interaction , 2009, HCI.
[40] Thibault Gateau,et al. "Automation Surprise" in Aviation: Real-Time Solutions , 2015, CHI.
[41] Fabio Babiloni,et al. On the Use of Cognitive Neurometric Indexes in Aeronautic and Air Traffic Management Environments , 2015, Symbiotic.
[42] R. Cabeza,et al. Imaging Cognition II: An Empirical Review of 275 PET and fMRI Studies , 2000, Journal of Cognitive Neuroscience.
[43] T. Brennan,et al. INCIDENCE OF ADVERSE EVENTS AND NEGLIGENCE IN HOSPITALIZED PATIENTS , 2008 .
[44] Fabio Babiloni,et al. Adaptive Automation Triggered by EEG-Based Mental Workload Index: A Passive Brain-Computer Interface Application in Realistic Air Traffic Control Environment , 2016, Front. Hum. Neurosci..
[45] F. Freeman,et al. A Closed-Loop System for Examining Psychophysiological Measures for Adaptive Task Allocation , 2000, The International journal of aviation psychology.
[46] B Kirwan,et al. Human error identification techniques for risk assessment of high risk systems--Part 1: Review and evaluation of techniques. , 1998, Applied ergonomics.
[47] Fabio Babiloni,et al. Correlation and Similarity between Cerebral and Non-Cerebral Electrical Activity for User’s States Assessment , 2019, Sensors.
[48] R. Helmreich. On error management: lessons from aviation , 2000, BMJ : British Medical Journal.
[49] T. Jung,et al. Dry and Noncontact EEG Sensors for Mobile Brain–Computer Interfaces , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[50] Thibault Gateau,et al. In silico vs. Over the Clouds: On-the-Fly Mental State Estimation of Aircraft Pilots, Using a Functional Near Infrared Spectroscopy Based Passive-BCI , 2018, Front. Hum. Neurosci..
[51] Robert Sargent,et al. Development and evaluation of the Maintenance Error Decision Aid (MEDA) process , 2000 .
[52] C. Vincent,et al. Adverse events in British hospitals: preliminary retrospective record review , 2001, BMJ : British Medical Journal.
[53] Daniel J. Barber,et al. The Psychometrics of Mental Workload , 2015, Hum. Factors.
[54] Fabio Babiloni,et al. EEG-Based Cognitive Control Behaviour Assessment: an Ecological study with Professional Air Traffic Controllers , 2017, Scientific Reports.
[55] G. Borghini,et al. Neuroscience and Biobehavioral Reviews , 2022 .
[56] S. Hart,et al. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .
[57] Luca Longo,et al. The Evolution of Cognitive Load Theory and the Measurement of Its Intrinsic, Extraneous and Germane Loads: A Review , 2018, H-WORKLOAD.
[58] J. Grafman,et al. Human prefrontal cortex: processing and representational perspectives , 2003, Nature Reviews Neuroscience.
[59] A J Tattersall,et al. An experimental evaluation of instantaneous self-assessment as a measure of workload. , 1996, Ergonomics.
[60] Michael E. Smith,et al. Neurophysiological measures of cognitive workload during human-computer interaction , 2003 .
[61] Luca Longo,et al. Experienced mental workload, perception of usability, their interaction and impact on task performance , 2018, PloS one.
[62] Norbert Jaušovec,et al. Working memory training: Improving intelligence – Changing brain activity , 2012, Brain and Cognition.
[63] Barry H. Kantowitz,et al. Human workload in aviation , 1988 .
[64] Fabio Babiloni,et al. Industrial Neuroscience in Aviation , 2017 .
[65] Fabio Babiloni,et al. EEG-Based Mental Workload Neurometric to Evaluate the Impact of Different Traffic and Road Conditions in Real Driving Settings , 2018, Front. Hum. Neurosci..
[66] Luca Longo,et al. Human Mental Workload: Models and Applications , 2017, Communications in Computer and Information Science.
[67] Hasan Ayaz,et al. Uav operators workload assessment by optical brain imaging technology (fnir) , 2015 .
[68] Santosh Mathan,et al. A joint human-automation cognitive system to support rapid decision-making in hostile environments , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.
[69] Julien Penders,et al. Wearable, Wireless EEG Solutions in Daily Life Applications: What are we Missing? , 2015, IEEE Journal of Biomedical and Health Informatics.
[70] Fabio Babiloni,et al. The Dry Revolution: Evaluation of Three Different EEG Dry Electrode Types in Terms of Signal Spectral Features, Mental States Classification and Usability , 2019, Sensors.
[71] Fabio Babiloni,et al. Gender and Age Related Effects While Watching TV Advertisements: An EEG Study , 2016, Comput. Intell. Neurosci..
[72] B. Cain. A Review of the Mental Workload Literature , 2007 .
[73] K Rumar,et al. The basic driver error: late detection. , 1990, Ergonomics.
[74] Jonathan R. Wolpaw,et al. Brain–Computer InterfacesPrinciples and Practice , 2012 .
[75] Majid Fallahi,et al. Assessment of operators’ mental workload using physiological and subjective measures in cement, city traffic and power plant control centers , 2016, Health promotion perspectives.
[76] José del R. Millán,et al. Improving Human Performance in a Real Operating Environment through Real-Time Mental Workload Detection , 2007 .
[77] Chiara Leva,et al. Human Performance Modelling for Adaptive Automation Journal of Physics: Conference Series , 2018, Journal of Physics: Conference Series.
[78] Mica R. Endsley,et al. Measurement of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.
[79] Jens Rasmussen,et al. Human errors. a taxonomy for describing human malfunction in industrial installations , 1982 .
[80] Chris Berka,et al. Real-Time Analysis of EEG Indexes of Alertness, Cognition, and Memory Acquired With a Wireless EEG Headset , 2004, Int. J. Hum. Comput. Interact..
[81] F. T. Eggemeier,et al. Recommendations for Mental Workload Measurement in a Test and Evaluation Environment , 1993 .
[82] Jialin Fan,et al. The Impact of Workload and Fatigue on Performance , 2017, H-WORKLOAD.
[83] Tamsyn Edwards,et al. The Relationship between Workload and Performance in Air Traffic Control , 2017, H-WORKLOAD.
[84] Dov Eden,et al. The inverted-U relationship between stress and performance: A field study , 1996 .
[85] Glenn F. Wilson,et al. Psychophysiological responses to changes in workload during simulated air traffic control , 1996, Biological Psychology.
[86] J. Wolpaw,et al. Brain-Computer Interfaces: Principles and Practice , 2012 .
[87] Joel S. Warm,et al. Vigilance Requires Hard Mental Work and Is Stressful , 2008, Hum. Factors.
[88] Mark S. Young,et al. Predicting design induced pilot error using HET (human error template) – A new formal human error identification method for flight decks , 2006, The Aeronautical Journal (1968).
[89] S Pozzi,et al. A passive brain-computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks. , 2016, Progress in brain research.
[90] G. Pfurtscheller,et al. Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.
[91] Febo Cincotti,et al. Hybrid P300-based brain-computer interface to improve usability for people with severe motor disability: electromyographic signals for error correction during a spelling task. , 2015, Archives of physical medicine and rehabilitation.
[92] J. VanMeter,et al. Event-related fast optical signal in a rapid object recognition task: Improving detection by the independent component analysis , 2008, Brain Research.
[93] Majid Fallahi,et al. Effects of mental workload on physiological and subjective responses during traffic density monitoring: A field study. , 2016, Applied ergonomics.
[94] Daniel Sánchez Morillo,et al. Dry EEG Electrodes , 2014, Sensors.
[95] Aidan Byrne,et al. Measurement of Mental Workload in Clinical Medicine: A Review Study , 2011, Anesthesiology and pain medicine.
[96] J. G. Hollands,et al. Engineering Psychology and Human Performance , 1984 .
[97] Angel Jiménez Molina,et al. Using Psychophysiological Sensors to Assess Mental Workload During Web Browsing , 2018, Sensors.
[98] Christopher D. Wickens,et al. Mental Workload: Assessment, Prediction and Consequences , 2017, H-WORKLOAD.
[99] Fabio Babiloni,et al. Quantitative Assessment of the Training Improvement in a Motor-Cognitive Task by Using EEG, ECG and EOG Signals , 2015, Brain Topography.
[100] M Doppelmayr,et al. Brain oscillations and human memory: EEG correlates in the upper alpha and theta band , 1997, Neuroscience Letters.
[101] Luca Longo. Designing Medical Interactive Systems Via Assessment of Human Mental Workload , 2015, 2015 IEEE 28th International Symposium on Computer-Based Medical Systems.
[102] Aaron M. Novstrup,et al. Assessing Workload in Human-Machine Teams from Psychophysiological Data with Sparse Ground Truth , 2018, H-WORKLOAD.
[103] J. Gorman,et al. Effect of mental stress throughout the day on cardiac autonomic control , 1994, Biological Psychology.
[104] Ulf Ahlstrom,et al. Portable Weather Applications for General Aviation Pilots , 2016, Hum. Factors.
[105] Fabio Babiloni,et al. Alpha and Theta EEG Variations as Indices of Listening Effort to Be Implemented in Neurofeedback Among Cochlear Implant Users , 2017, Symbiotic.
[106] Guofa Shou,et al. Probing neural activations from continuous EEG in a real-world task: Time-frequency independent component analysis , 2012, Journal of Neuroscience Methods.
[107] Raja Parasuraman,et al. Neuroergonomics: Research and practice , 2003 .
[108] A. Owen,et al. Anterior prefrontal cortex: insights into function from anatomy and neuroimaging , 2004, Nature Reviews Neuroscience.
[109] Christian Mühl,et al. EEG-based workload estimation across affective contexts , 2014, Front. Neurosci..
[110] Fabio Babiloni,et al. Investigating Driver Fatigue versus Alertness Using the Granger Causality Network , 2015, Sensors.
[111] Daniel Gopher,et al. Workload: An examination of the concept. , 1986 .
[112] Barry Kirwan,et al. Development and application of a human error identification tool for air traffic control. , 2002, Applied ergonomics.
[113] Robert J Barry,et al. Arousal and activation effects on physiological and behavioral responding during a continuous performance task. , 2007, Acta neurobiologiae experimentalis.
[114] Daphne N. Yu,et al. High-resolution EEG mapping of cortical activation related to working memory: effects of task difficulty, type of processing, and practice. , 1997, Cerebral cortex.
[115] T. Brennan,et al. The nature of adverse events in hospitalized patients. Results of the Harvard Medical Practice Study II. , 1991, The New England journal of medicine.
[116] A. Colosimo,et al. EEG Frontal Asymmetry Related to Pleasantness of Olfactory Stimuli in Young Subjects , 2016 .
[117] Klaus-Robert Müller,et al. Machine learning for real-time single-trial EEG-analysis: From brain–computer interfacing to mental state monitoring , 2008, Journal of Neuroscience Methods.
[118] J. Sexton,et al. Error, stress, and teamwork in medicine and aviation: cross sectional surveys , 2000, BMJ : British Medical Journal.
[119] F. Babiloni,et al. A covert attention P300-based brain–computer interface: Geospell , 2012, Ergonomics.
[120] L. Åberg,et al. Dimensions of aberrant driver behaviour. , 1998, Ergonomics.
[121] Dylan D. Schmorrow,et al. Enhancing Mitigation in Augmented Cognition , 2007 .
[122] Peter A. Hancock,et al. ACTIVE AND PASSIVE FATIGUE STATES , 2001 .
[123] F. Babiloni,et al. Neuroelectrical Indexes for the Study of the Efficacy of TV Advertising Stimuli , 2016 .
[124] Jens Rasmussen,et al. The Definition of Human Error and a Taxonomy for Technical System Design , 1987 .
[125] I. Parberry,et al. Evaluating player task engagement and arousal using electroencephalography , 2015 .
[126] Wolfgang Rosenstiel,et al. Cognitive state monitoring and the design of adaptive instruction in digital environments: lessons learned from cognitive workload assessment using a passive brain-computer interface approach , 2014, Front. Neurosci..
[127] Christopher D. Wickens,et al. Multiple Resources and Mental Workload , 2008, Hum. Factors.