Abstract
Emotion is an essential part of what means to be human, but it is still disregarded by most technical fields as something not to be considered in scientific or engineering projects. However, the understanding of emotion as an aspect of decision-making processes and of modelling of human behavior is essential to create a better connection between humans and their tools and machines. With this work we focus on the measurement of emotion of users through the use of non-intrusive methods, like measuring inputs and reactions to stimuli, along with the creation of a tool that measures the emotional changes caused by visual output created by the tool itself. Usage of the tool in a test environment and the subsequent analysis of the data obtained will allow for conclusions about the effectiveness of the method, and if it is possible to apply it to future studies on human emotions by investigators in the fields of psychology and computation.
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References
Picard, R.W.: Toward computers that recognize and respond to user emotion. IBM Syst. J. 39(3.4), 705–719 (2000)
Rodrigues, M.F., Gonçalves, S.M., Santos, R., Fdez-Riverola, F., Carneiro, D.: Intelligent tutoring: active monitoring and recommendation. In: Interdisciplinary Perspectives on Contemporary Conflict Resolution, pp. 205–224. IGI Global (2016)
Carneiro, D., Rocha, H., Novais, P.: An environment for studying visual emotion perception. In: International Symposium on Ambient Intelligence, pp. 238–245. Springer, Cham, June 2017
Parrott, W.G. (ed.): Emotions in Social Psychology: Essential Readings. Psychology Press, Philadelphia (2001)
Wierzbicka, A.: Defining emotion concepts. Cogn. Sci. 16(4), 539–581 (1992)
Wu, C.H., Huang, Y.M., Hwang, J.P.: Review of affective computing in education/learning: Trends and challenges. Br. J. Educ. Technol. 47(6), 1304–1323 (2016)
Barrett, L.F., Lewis, M., Haviland-Jones, J.M. (eds.): Handbook of Emotions. Guilford Publications, New York (2016)
Myers, D.G.: Theories of emotion. Psychology, 7th edn, p. 500. Worth Publishers, New York (2004)
Lang, P.J., Bradley, M.M., Cuthbert, B.N.: International affective picture system (IAPS): technical manual and affective ratings. NIMH Center for the Study of Emotion and Attention, pp. 39–58 (1997)
Gonçalves, S., Rodrigues, M., Carneiro, D., Fdez-Riverola, F., Novais, P.: Boosting learning: non-intrusive monitoring of student’s efficiency. In: Mascio, T., Gennari, R., Vittorini, P., De la Prieta, F. (eds.) Methodologies and Intelligent Systems for Technology Enhanced Learning, pp. 73–80. Springer, Cham (2015)
Osgood, S., Suci, G.J., Tannenbaum, P.H.: The measurement of meaning (1957)
Mehrabian, A., Russell, J.A.: An Approach to Environmental Psychology. The MIT Press, Cambridge (1974)
Watson, D., Tellegen, A.: Toward a consensual structure of mood. Psychol. Bull. 98(2), 219 (1985)
Rodrigues, M., Novais, F.F.R.P.: An approach to assessing stress in elearning students. In: Proceedings of the 11th European Conference on e-Learning: ECEL, p. 461 (2012)
Carneiro, D., Castillo, J.C., Novais, P., FernĂ¡Ndez-Caballero, A., Neves, J.: Multimodal behavioral analysis for non-invasive stress detection. Expert Syst. Appl. 39(18), 13376–13389 (2012)
Novais, P., Carneiro, D., Gomes, M., Neves, J.: Non-invasive estimation of stress in conflict resolution environments. In: Demazeau, Y., MĂ¼ller, J., RodrĂguez, J., PĂ©rez, J. (eds.) Advances on Practical Applications of Agents and Multi-Agent Systems, pp. 153–159. Springer, Heidelberg (2012)
Goodman, L.A.: Kolmogorov-Smirnov tests for psychological research. Psychol. Bull. 51(2), 160 (1954)
Acknowledgment
This work has been supported by FCT – FundaĂ§Ă£o para a CiĂªncia e Tecnologia within the Project Scope: UID/CEC/00319/2019.
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Teixeira, A., Rodrigues, M., Carneiro, D., Novais, P. (2020). HORUS: An Emotion Recognition Tool. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1037. Springer, Cham. https://doi.org/10.1007/978-3-030-29516-5_11
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DOI: https://doi.org/10.1007/978-3-030-29516-5_11
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