A. L. Baylor and K. Yanghee, Pedagogical Agent Design: The Impact of Agent Realism, Gender, Ethnicity, and Instructional Role, Proc ICITS, pp.592-603, 2004.
DOI : 10.1007/978-3-540-30139-4_56

R. B. Cattell and H. E. , Personality Structure and the New Fifth Edition of the 16PF, Educational and Psychological Measurement, vol.23, issue.3, pp.926-963, 1995.
DOI : 10.1177/0013164495055006002

B. R. Duffy, Anthropomorphism and the social robot, Robotics and Autonomous Systems, vol.42, issue.3-4, pp.177-190, 2003.
DOI : 10.1016/S0921-8890(02)00374-3

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.9969

E. V. Friedrich, C. Neuper, and R. Scherer, Whatever Works: A Systematic User-Centered Training Protocol to Optimize Brain-Computer Interfacing Individually, PLoS ONE, vol.127, issue.9, p.76214, 2013.
DOI : 10.1371/journal.pone.0076214.t002

URL : http://doi.org/10.1371/journal.pone.0076214

E. Hornecker, The role of physicality in tangible and embodied interactions. interactions, pp.19-23, 2011.

P. A. Jaques, R. M. Vicari, S. Pesty, and J. Bonneville, Applying affective tactics for a better learning, ECAI, p.109, 2004.

C. Jeunet, E. Jahanpour, and F. Lotte, Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study, Journal of Neural Engineering, vol.13, issue.3, p.36024, 2016.
DOI : 10.1088/1741-2560/13/3/036024

URL : https://hal.archives-ouvertes.fr/hal-01302154

C. Jeunet, B. N-'kaoua, S. Subramanian, M. Hachet, and F. Lotte, Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns, PLOS ONE, vol.25, issue.1, p.20, 2015.
DOI : 10.1371/journal.pone.0143962.g008

URL : https://hal.archives-ouvertes.fr/hal-01177685

D. W. Johnson, R. T. Johnson10-]-w, P. Johnson, and . Rizzo, An educational psychology success story: Social interdependence theory and cooperative learning. Educational researcher Politeness in tutoring dialogs: " run the factory, that's what i'd do, International Conference on Intelligent Tutoring Systems, pp.365-379, 2004.
DOI : 10.3102/0013189x09339057

B. Kort, R. Reilly, and R. W. Picard, An affective model of interplay between emotions and learning: reengineering educational pedagogy-building a learning companion, Proceedings IEEE International Conference on Advanced Learning Technologies, 2001.
DOI : 10.1109/ICALT.2001.943850

F. Lotte and C. Guan, Learning from other subjects helps reducing Brain-Computer Interface calibration time, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010.
DOI : 10.1109/ICASSP.2010.5495183

URL : https://hal.archives-ouvertes.fr/inria-00441670

F. Lotte and C. Jeunet, Towards improved BCI based on human learning principles, The 3rd International Winter Conference on Brain-Computer Interface, pp.1-4, 2015.
DOI : 10.1109/IWW-BCI.2015.7073024

URL : https://hal.archives-ouvertes.fr/hal-01111843

F. Lotte, F. Larrue, and C. Mühl, Flaws in current human training protocols for spontaneous braincomputer interfaces: lessons learned from instructional design, Front Hum Neurosc, vol.7, issue.568, p.2013
URL : https://hal.archives-ouvertes.fr/hal-00862716

J. Millán, R. Rupp, G. Müller-putz, R. Murray-smith, C. Giugliemma et al., Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges, Frontiers in Neuroscience, vol.1, p.161, 2010.
DOI : 10.3389/fnins.2010.00161

R. Nkambou, J. Bourdeau, and R. Mizoguchi, Advances in intelligent tutoring systems, 2010.
DOI : 10.1007/978-3-642-14363-2

URL : https://hal.archives-ouvertes.fr/hal-00699845

]. H. Ramoser, J. Muller-gerking, and G. Pfurtscheller, Optimal spatial filtering of single trial EEG during imagined hand movement, IEEE Transactions on Rehabilitation Engineering, vol.8, issue.4, pp.441-446, 2000.
DOI : 10.1109/86.895946

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.323.7160

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

L. Sherry, Issues in distance learning, Int J Educ Telecom, vol.1, issue.4, pp.337-365, 1996.

V. Shute, Focus on Formative Feedback, Review of Educational Research, vol.78, issue.1, pp.153-189, 2008.
DOI : 10.3102/0034654307313795

E. Um, J. Plass, E. Hayward, and B. Homer, Emotional design in multimedia learning., Journal of Educational Psychology, vol.104, issue.2, p.485, 2012.
DOI : 10.1037/a0026609

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.485.9999

J. Wolpaw and E. Wolpaw, Brain-computer interfaces: principles and practice, 2012.

B. P. Woolf, I. Arroyo, D. Cooper, W. Burleson, and K. Muldner, Affective Tutors: Automatic Detection of and Response to Student Emotion, Advances in Intelligent Tutoring Systems, pp.207-227, 2010.
DOI : 10.1007/978-3-642-14363-2_10