Abstract
Music provides entertainment but it has been found in different research studies that music may be used as well to relieve stress, to induce positive mood and to improve the productivity of people. This paper presents an experiment where the brainwaves of a subject were recorded while performing tasks on a computer that were chosen by the subject himself. The subject later on annotated and classified the tasks according to two categories, academic and leisure. The subject was asked to listen to preferred music while performing his tasks so that the music features that are preferred by the subject may be noted. A model was built based on the brainwave signal features of the subject as he performed his tasks on the computer. As such, given the brainwave features, the model can now classify what type of activity is being performed. This experiment makes it possible to provide music to the user based on the type of activity that he or she is performing (i.e., academic or leisure). This research paper moves towards empathic support provision to a computer user by playing music that are based on his previous preference. The music provided will be dependent on whether the user is doing leisurely activities or academic activities as characterized by the brainwaves of the user. This paper has found that the brainwaves of the student may be used to gauge whether the student is doing something leisurely or something that is academic in nature. This paper presents a user-specific model that was built using multilayer perceptron. An accuracy of 75.65% was achieved by using brainwaves to classify the activities.
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Aquino, R.J., Battad, J., Ngo, C.F., Uy, G., Trogo, R., Suarez, M. (2012). Towards Empathic Support Provision for Computer Users. In: Nishizaki, Sy., Numao, M., Caro, J., Suarez, M.T. (eds) Theory and Practice of Computation. Proceedings in Information and Communications Technology, vol 5. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54106-6_2
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DOI: https://doi.org/10.1007/978-4-431-54106-6_2
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