Abstract
Stress is a highly complex, subjective and multidimensional phenomenon. Nonetheless, it is also one of our strongest driving forces, pushing us forward and preparing our body and mind to tackle the daily challenges, independently of their nature. The duality of the effects of stress, that can have positive or negative effects, calls for approaches that can take the best out of this biological mechanism, providing means for people to cope effectively with stress. In this paper we propose an approach, based on mouse dynamics, to assess the level of stress of students during online exams. Results show that mouse dynamics change in a consistent manner as stress settles in, allowing for its estimation from the analysis of the mouse usage. This approach will allow to understand how each individual student is affected by stress, providing additional valuable information for educational institutions to efficiently adapt and improve their teaching processes.
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References
Pimenta, A., Carneiro, D., Novais, P., Neves, J.: Detection of distraction and fatigue in groups through the analysis of interaction patterns with computers. In: Camacho, D., Braubach, L., Venticinque, S., Badica, C. (eds.) Intelligent Distributed Computing VIII. SCI, vol. 570, pp. 29–40. Springer, Heidelberg (2014)
Kohavi, R.: Scaling up the accuracy of naive-bayes classifiers: a decision-tree hybrid. In: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (1996)
Dyrbye, L.N., Thomas, M.R., Shanafelt, T.D.: Systematic review of depression, anxiety, and other indicators of psychological distress among US and Canadian medical students. Acad. Med. 81(4), 354–373 (2006)
Goebert, D., Thompson, D., Takeshita, J., Beach, C., Bryson, P., Ephgrave, K., Kent, A., Kunkel, M., Schechter, J., Tate, J.: Depressive symptoms in medical students and residents: a multischool study. Acad. Med. 84(2), 236–241 (2009)
Strous, R.D., Shoenfeld, N., Lehman, A., Wolf, A., Snyder, L., Barzilai, O.: Medical students’ self-report of mental health conditions. Int. J. Med. Educ. 3, 1 (2012)
Case, S.M., Swanson, D.B.: Constructing Written Test Questions for the Basic and Clinical Sciences. National Board of Medical Examiners, Philadelphia (1998)
McEwen, B.S.: Brain on stress: how the social environment gets under the skin. Proc. Natl. Acad. Sci. 109, 17180–17185 (2012)
Jain, A.K., Ross, A., Prabhakar, S.: An introduction to biometric recognition. IEEE Trans. Circuits Syst. Video Technol. 14(1), 4–20 (2004)
Yampolskiy, R.V., Govindaraju, V.: Behavioral biometric: a survey and classification. Int. J. Biometrics 1(1), 81–113 (2008)
Shen, C., Cai, Z., Guan, X., Du, Y., Maxion, R.A.: User authentication through mouse dynamics. IEEE - Inf. Forensics Secur. 8(1), 16–30 (2013)
Ahmedand, A.A.E., Traore, I.: Anomaly intrusion detection based on biometrics. In: Proceedings of IEEE Information Assurance Workshop, pp. 452–453, West Point (2005)
Aksari, Y., Artuner, H.: Active authentication by mouse movements. In: Proceedings of 24th International Symposium on Computer and Information Science, pp. 571–574, Guzelyurt (2009)
Soares, J.M., Sampaio, A., Ferreira, L.M., Santos, N.C., Marques, F., Palha, J.A., Cerqueira, J.J., Sousa, N.: Stress-induced changes in human decision-making are reversible. Transl. psychiatry 2(7), e131 (2012)
Acknowledgments
This work is part-funded by ERDF - European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by National Funds through the FCT (Portuguese Foundation for Science and Technology) within project FCOMP-01-0124-FEDER-028980 (PTDC/EEI-SII/1386/2012) and project PEst-OE/EEI/UI0752/2014.
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Carneiro, D., Novais, P., Pêgo, J.M., Sousa, N., Neves, J. (2015). Using Mouse Dynamics to Assess Stress During Online Exams. In: Onieva, E., Santos, I., Osaba, E., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2015. Lecture Notes in Computer Science(), vol 9121. Springer, Cham. https://doi.org/10.1007/978-3-319-19644-2_29
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DOI: https://doi.org/10.1007/978-3-319-19644-2_29
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