G. Andrews and T. Slade, Interpreting scores on the Kessler psychological distress scale (K10) Australian and New Zealand journal of public health, pp.494-497, 2007.

K. Dedovic, R. Renwick, N. K. Mahani, C. Engert, S. J. Lupien et al., The Montreal Imaging Stress Task: using functional imaging to investigate the effects of perceiving and processing psychosocial stress in the human brain, Journal of Psychiatry & Neuroscience, vol.30, issue.5, pp.319-325, 2005.

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, pp.355-391, 2004.
DOI : 10.1037/0033-2909.130.3.355

J. Engstrom, E. Johansson, and J. Ostlund, Effects of visual and cognitive load in real and simulated motorway driving, Transportation Research Part F: Traffic Psychology and Behaviour, vol.8, issue.2, pp.97-120, 2005.
DOI : 10.1016/j.trf.2005.04.012

J. Healey and R. Picard, SmartCar: detecting driver stress, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, pp.218-221, 2000.
DOI : 10.1109/ICPR.2000.902898

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

A. Knoll, Y. Wang, F. Chen, J. Xu, N. Ruiz et al., Measuring Cognitive Workload with Low-Cost Electroencephalograph, IFIP Conf. Human-Computer Interaction (INTERACT), pp.568-571, 2011.
DOI : 10.1007/978-3-642-23768-3_84

H. Markus, The effect of mere presence on social facilitation: An unobtrusive test, Journal of Experimental Social Psychology, vol.14, issue.4, pp.389-397, 1978.
DOI : 10.1016/0022-1031(78)90034-3

N. Nourbakhsh, Y. Wang, F. Chen, and R. A. Calvo, Using galvanic skin response for cognitive load measurement in arithmetic and reading tasks, Proceedings of the 24th Australian Computer-Human Interaction Conference on, OzCHI '12, pp.420-423, 2012.
DOI : 10.1145/2414536.2414602

R. G. Saadé and C. A. Otrakji, First impressions last a lifetime: effect of interface type on disorientation and cognitive load, Computers in human behaviour, pp.525-535, 2007.

C. Setz, B. Arnrich, J. Schumm, L. Marca, R. Tröster et al., Discriminating Stress From Cognitive Load Using a Wearable EDA Device, IEEE Transactions on Information Technology in Biomedicine, vol.14, issue.2, pp.410-417, 2010.
DOI : 10.1109/TITB.2009.2036164

Y. Shi, N. Ruiz, R. Taib, E. Choi, and F. Chen, Galvanic skin response (GSR) as an index of cognitive load. CHI extended abstracts on Human factors in computing systems, 2007.
DOI : 10.1145/1240866.1241057

J. Sweller, Cognitive load theory, learning difficulty, and instructional design. learning and instruction, pp.295-312, 1994.
DOI : 10.1016/0959-4752(94)90003-5

J. A. Veltman and A. W. Gaillard, Physiological workload reactions to increasing levels of task difficulty, Ergonomics, vol.7, issue.5, pp.656-669, 1998.
DOI : 10.1016/0301-0511(92)90014-L

W. Wang, Z. Li, Y. Wang, and F. Chen, Indexing cognitive workload based on pupillary response under luminance and emotional changes, Proceedings of the 2013 international conference on Intelligent user interfaces, IUI '13, pp.247-256, 2013.
DOI : 10.1145/2449396.2449428

G. F. Wilson, An Analysis of Mental Workload in Pilots During Flight Using Multiple Psychophysiological Measures, The International Journal of Aviation Psychology, vol.36, issue.1, pp.3-18, 2002.
DOI : 10.1016/0301-0511(92)90014-L

J. Xu, Y. Wang, F. Chen, H. Choi, G. Li et al., Pupillary response based cognitive workload index under luminance and emotional changes. CHI extended abstracts on Human factors in computing systems, 2011.
DOI : 10.1145/1979742.1979819

J. Xu, Y. Wang, F. Chen, and E. Choi, Pupillary Response Based Cognitive Workload Measurement under Luminance Changes, IFIP Conf. Human-Computer Interaction (INTERACT), pp.178-185, 2011.
DOI : 10.1007/978-3-642-23771-3_14

J. Zhai and A. Barreto, Stress detection in computer users through non-invasive monitoring of physiological signals, Blood, vol.5, 2008.