K. K. Ang, Z. Y. Chin, C. Wang, C. Guan, and H. Zhang, Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b, Frontiers in Neuroscience, vol.6, 2012.
DOI : 10.3389/fnins.2012.00039

B. Blankertz, S. Lemm, M. Treder, S. Haufe, and K. Müller, Singletrial analysis and classification of ERP components?a tutorial, Neuroimage, vol.56, 2010.

B. Blankertz, R. Tomioka, S. Lemm, M. Kawanabe, and K. R. Müller, Optimizing Spatial filters for Robust EEG Single-Trial Analysis, IEEE Signal Processing Magazine, vol.25, issue.1, pp.41-56, 2008.
DOI : 10.1109/MSP.2008.4408441

W. Boucsein, Electrodermal Indices of Emotion and Stress, chapter 3, Electrodermal Activity, pp.369-391, 1992.

M. M. Bradley, L. , and P. J. , Measuring emotion: The self-assessment manikin and the semantic differential, Journal of Behavior Therapy and Experimental Psychiatry, vol.25, issue.1, pp.49-59, 1994.
DOI : 10.1016/0005-7916(94)90063-9

A. M. Brouwer, M. A. Hogervorst, J. B. Van-erp, T. Heffelaar, P. H. Zimmerman et al., Estimating workload using EEG spectral power and ERPs in the n-back task, Journal of Neural Engineering, vol.9, issue.4, pp.45008-45018, 2012.
DOI : 10.1088/1741-2560/9/4/045008

T. W. Buchanan, J. A. Etze, R. Adolphs, and D. Tranel, The influence of autonomic arousal and semantic relatedness on memory for emotional words, International Journal of Psychophysiology, vol.61, issue.1, pp.23-26, 2006.
DOI : 10.1016/j.ijpsycho.2005.10.022

N. W. Crost, C. A. Pauls, and J. Wacker, Defensiveness and anxiety predict frontal EEG asymmetry only in specific situational contexts, Biological Psychology, vol.78, issue.1, 2008.
DOI : 10.1016/j.biopsycho.2007.12.008

S. S. Dickerson and M. E. Kemeny, Acute Stressors and Cortisol Responses: A Theoretical Integration and Synthesis of Laboratory Research., Psychological Bulletin, vol.130, issue.3, 2004.
DOI : 10.1037/0033-2909.130.3.355

R. O. Duda, P. E. Hart, D. G. Stork, J. B. Wiley-interscience-erp, H. J. Veltman et al., Pattern Recognition, 2nd Edn Brain-Based indices for user system symbiosis, chapter 12, Brain-Computer Interfaces: Applying Our Minds to Human-Computer Interaction, pp.201-219, 2001.

M. W. Eysenck and N. Derakshan, New perspectives in attentional control theory, Personality and Individual Differences, vol.50, issue.7, 2011.
DOI : 10.1016/j.paid.2010.08.019

S. H. Fairclough and J. S. Roberts, Effects of performance feedback on cardiovascular reactivity and frontal EEG asymmetry, International Journal of Psychophysiology, vol.81, issue.3, 2011.
DOI : 10.1016/j.ijpsycho.2011.07.012

A. Gevins, M. Smith, H. Leong, L. Mcevoy, S. Whitfield et al., Monitoring Working Memory Load during Computer-Based Tasks with EEG Pattern Recognition Methods, Human Factors: The Journal of the Human Factors and Ergonomics Society, vol.40, issue.1, pp.79-91, 1518.
DOI : 10.1518/001872098779480578

I. Goncharova, D. Mcfarland, T. Vaughan, and J. Wolpaw, EMG contamination of EEG: spectral and topographical characteristics, Clinical Neurophysiology, vol.114, issue.9, pp.1580-1593, 2003.
DOI : 10.1016/S1388-2457(03)00093-2

D. Grimes, D. S. Tan, S. E. Hudson, P. Shenoy, and R. P. Rao, Feasibility and pragmatics of classifying working memory load with an electroencephalograph, Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems , CHI '08, pp.835-844, 2008.
DOI : 10.1145/1357054.1357187

S. G. Hart and L. Staveland, Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research, pp.139-183, 1988.
DOI : 10.1016/S0166-4115(08)62386-9

J. Hellhammer and M. Schubert, The physiological response to Trier Social Stress Test relates to subjective measures of stress during but not before or after the test, Psychoneuroendocrinology, vol.37, issue.1, 2012.
DOI : 10.1016/j.psyneuen.2011.05.012

J. Hewig, W. Schlotz, F. Gerhard, C. Breitenstein, A. Luerken et al., Associations of the cortisol awakening response (CAR) with cortical activation asymmetry during the course of an exam stress period, Psychoneuroendocrinology, vol.33, issue.1, pp.83-89, 2008.
DOI : 10.1016/j.psyneuen.2007.10.004

U. Hoffmann, J. Vesin, and T. Ebrahimi, Spatial filters for the classification of event-related potentials, European Symposium on Artificial Neural Networks, 2006.

O. Jensen, J. Gelfand, J. Kounios, and J. E. Lisman, Oscillations in the Alpha Band (9-12 Hz) Increase with Memory Load during Retention in a Short-term Memory Task, Cerebral Cortex, vol.12, issue.8, pp.877-882, 2002.
DOI : 10.1093/cercor/12.8.877

O. Jensen and C. D. Tesche, Frontal theta activity in humans increases with memory load in a working memory task, European Journal of Neuroscience, vol.97, issue.8, 2002.
DOI : 10.1126/science.283.5408.1657

C. Jeunet, F. Lotte, and C. Mühl, Design and validation of a mental and social stress induction protocol towards load-invariant physiology-based stress detection, International Conference on Physiological Computing Systems, 2014.
URL : https://hal.archives-ouvertes.fr/hal-00879966

L. J. Julian, Measures of anxiety: State-Trait Anxiety Inventory (STAI), Beck Anxiety Inventory (BAI), and Hospital Anxiety and Depression Scale-Anxiety (HADS-A), Arthritis Care & Research, vol.26, issue.Pt 4, pp.467-472, 2011.
DOI : 10.1002/acr.20561

W. K. Kirchner, Age differences in short-term retention of rapidly changing information., Journal of Experimental Psychology, vol.55, issue.4, pp.352-358, 1958.
DOI : 10.1037/h0043688

C. Kirschbaum, K. Pirke, and D. H. Hellhammer, The ???Trier Social Stress Test??? ??? A Tool for Investigating Psychobiological Stress Responses in a Laboratory Setting, Neuropsychobiology, vol.28, issue.1-2, pp.76-81, 1993.
DOI : 10.1159/000119004

R. E. Krout, Music listening to facilitate relaxation and promote wellness: Integrated aspects of our neurophysiological responses to music, The Arts in Psychotherapy, vol.34, issue.2, 2007.
DOI : 10.1016/j.aip.2006.11.001

D. J. Krusienski, M. Grosse-wentrup, F. Galán, D. Coyle, K. J. Miller et al., Critical issues in state-of-the-art brain???computer interface signal processing, Journal of Neural Engineering, vol.8, issue.2, pp.25002-25012, 2011.
DOI : 10.1088/1741-2560/8/2/025002

R. S. Lewis, N. Y. Weekes, W. , and T. H. , The effect of a naturalistic stressor on frontal EEG asymmetry, stress, and health, Biological Psychology, vol.75, issue.3, pp.224-239, 2007.
DOI : 10.1016/j.biopsycho.2007.03.004

M. L. Loggia, M. Juneau, and M. C. Bushnell, Autonomic responses to heat pain: Heart rate, skin conductance, and their relation to verbal ratings and stimulus intensity, Pain, vol.152, issue.3, 2011.
DOI : 10.1016/j.pain.2010.11.032

F. Lotte, M. Congedo, A. Lecuyer, F. Lamarche, and B. Arnaldi, A review of classification algorithms for EEG-based brain???computer interfaces, Journal of Neural Engineering, vol.4, issue.2, pp.1-13, 2007.
DOI : 10.1088/1741-2560/4/2/R01

URL : https://hal.archives-ouvertes.fr/inria-00134950

F. Lotte and C. Guan, Learning from other subjects helps reducing braincomputer interface calibration time, International Conference on Audio, Speech and Signal Processing (ICASSP'2010) (Dallas), pp.614-617, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00441670

F. Lotte, C. Guan, and K. Ang, Comparison of designs towards a subject-independent brain-computer interface based on motor imagery, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.4543-4546, 2009.
DOI : 10.1109/IEMBS.2009.5334126

URL : https://hal.archives-ouvertes.fr/inria-00396399

F. Lotte, F. Larrue, and C. Mühl, Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design, Frontiers in Human Neuroscience, vol.7, 2013.
DOI : 10.3389/fnhum.2013.00568

URL : https://hal.archives-ouvertes.fr/hal-00862716

S. Mathan, T. Feyereisen, and S. Whitlow, WorkSense: exploring the feasibility of human factors assessment using electrophysiological sensors, Proceedings of ICACS, 2007.

G. R. Müller-putz, R. Scherer, C. Brunner, R. Leeb, and G. Pfurtscheller, Better than random? A closer look on BCI results, Int. J. Bioelectromagn, vol.10, pp.52-55, 2008.

S. J. Pan, Y. , and Q. , A Survey on Transfer Learning, IEEE Transactions on Knowledge and Data Engineering, vol.22, issue.10, pp.1345-1359, 0191.
DOI : 10.1109/TKDE.2009.191

E. M. Peck, B. F. Yuksel, A. Ottley, R. J. Jacob, C. et al., Using fNIRS brain sensing to evaluate information visualization interfaces, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '13, pp.473-482, 2013.
DOI : 10.1145/2470654.2470723

H. Peng, F. Long, and C. Ding, Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.8, pp.1226-1238159, 2005.
DOI : 10.1109/TPAMI.2005.159

T. Reinhardt, C. Schmahl, S. Wüst, and M. Bohus, Salivary cortisol, heart rate, electrodermal activity and subjective stress responses to the Mannheim Multicomponent Stress Test (MMST), Psychiatry Research, vol.198, issue.1, pp.106-111, 2012.
DOI : 10.1016/j.psychres.2011.12.009

Y. Renard, F. Lotte, G. Gibert, M. Congedo, E. Maby et al., OpenViBE: An Open-Source Software Platform to Design, Test, and Use Brain???Computer Interfaces in Real and Virtual Environments, Presence: Teleoperators and Virtual Environments, vol.2008, issue.3, pp.35-53, 2010.
DOI : 10.1016/j.patrec.2007.10.009

URL : https://hal.archives-ouvertes.fr/hal-00477153

B. Reuderink, C. Mühl, and M. Poel, Valence, arousal and dominance in the EEG during game play, International Journal of Autonomous and Adaptive Communications Systems, vol.6, issue.1, 2013.
DOI : 10.1504/IJAACS.2013.050691

B. Reuderink, M. Poel, and A. Nijholt, The Impact of Loss of Control on Movement BCIs, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.19, issue.6, pp.628-637, 2011.
DOI : 10.1109/TNSRE.2011.2166562

R. Roy, S. Bonnet, S. Charbonnier, and A. Campagne, Time-on-task effect on workload level discriminability through electroencephalography, Proceedings of BIOMAG 2012, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00700301

A. Schlögl, C. Keinrath, D. Zimmermann, R. Scherer, R. Leeb et al., A fully automated correction method of EOG artifacts in EEG recordings, Clinical Neurophysiology, vol.118, issue.1, pp.98-104, 2007.
DOI : 10.1016/j.clinph.2006.09.003

H. Selye, A syndrome produced by diverse nocuous agents, Nature, vol.138, 1936.

R. Sinha, M. Talih, R. Malison, N. Cooney, G. Anderson et al., Hypothalamic-pituitary-adrenal axis and sympatho-adreno-medullary responses during stress-induced and drug cue-induced cocaine craving states, Psychopharmacology, vol.170, issue.1, pp.62-72, 2003.
DOI : 10.1007/s00213-003-1525-8

E. Solovey, P. Schermerhorn, M. Scheutz, A. Sassaroli, S. Fantini et al., Brainput, Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems, CHI '12, pp.2193-2202, 2012.
DOI : 10.1145/2207676.2208372

C. D. Spielberger, R. L. Gorsuch, and R. E. Lushene, Manual for the State- Trait Anxiety Inventory, 1970.

M. Tangermann, K. R. Müller, A. Aertsen, N. Birbaumer, C. Braun et al., Review of the BCI Competition IV, Frontiers in Neuroscience, vol.6, 2012.
DOI : 10.3389/fnins.2012.00055

M. Tops, J. M. Van-peer, A. E. Wester, A. A. Wijers, and J. Korf, Statedependent regulation of cortical activity by cortisol: an EEG study, Neurosci. Lett, vol.404, pp.34-39, 2006.

J. Van-erp, F. Lotte, and M. Tangermann, Brain-Computer Interfaces: Beyond Medical Applications, Computer, vol.45, issue.4, pp.26-34, 2012.
DOI : 10.1109/MC.2012.107

URL : https://hal.archives-ouvertes.fr/hal-00688344

W. B. Verwey and H. A. Veltman, Detecting short periods of elevated workload: A comparison of nine workload assessment techniques., Journal of Experimental Psychology: Applied, vol.2, issue.3, 1984.
DOI : 10.1037/1076-898X.2.3.270

C. Walter, S. S. Rosenstiel, W. Gerjets, P. Bogdan, and M. , Using crosstask classification for classifying workload levels in complex learning tasks, Proceedings of ACII 2013, pp.876-881, 2013.

T. Zander and S. Jatzev, Context-aware brain???computer interfaces: exploring the information space of user, technical system and environment, Journal of Neural Engineering, vol.9, issue.1, 2012.
DOI : 10.1088/1741-2560/9/1/016003

T. O. Zander and C. Kothe, Towards passive brain???computer interfaces: applying brain???computer interface technology to human???machine systems in general, Journal of Neural Engineering, vol.8, issue.2, pp.25005-25015, 2011.
DOI : 10.1088/1741-2560/8/2/025005

P. Zarjam, J. Epps, F. Chen, L. , and N. H. , Estimating cognitive workload using wavelet entropy-based features during an arithmetic task, Computers in Biology and Medicine, vol.43, issue.12, pp.2186-2195, 2013.
DOI : 10.1016/j.compbiomed.2013.08.021

F. R. Zijlstra, Efficiency in Work Behaviour: A Design Approach for Modern Tools, 1993.