POSITIVE EMOTION RECOGNITION THROUGH EYE TRACKING TECHNOLOGY
Currently, modern eye tracking technology has been utilized to examine the gazing behavior as human visual perception is very much linked to the psychological knowledge of mental processes. Hence, eye tracking technology is potential to reveal hidden cognitive processes of human behaviour. However, eye tracking understanding can be crucial to investigate as the analysis involved the nature feeling of positive stimuli affects subjects’ emotions and soul through the eye tracking device. This experiment therefore attempt to investigate and identify the feeling utilizing the eye tracking sensor. Audio-visual setup of media containing positive emotions attributes were exhibited to participants to gauge the feeling of valence and excitement. The experiment used Tobii TX300 eye tracker with 10 subjects participated. The positive emotions that apply in this experiment are Love, Joy, Inspiration and Serenity. The results showed that both "Joy" and "Inspiration" stimuli fixation duration peaks the longest at 7000ms among the ten subjects tested. The experiment further found that the pupil dilated strongly to “Joy” and “Inspiration”. These fixation metrics results confirmed that the participants visual attention toward salient image content were differently processed which concluded the positive emotion recognition. The results sum up that eye tracking metrics is useful to implicitly uncover the feelings insight of human behavior.
K. Otake, "Happy People Become Happier through Kindness: A counting Kindnesses Intervention”, Journal of Happiness Studies, vol. 7, no. 3, pp. 361-375, 2006.
L. R. Welp and C. M. Brown, "Self-compassion, empathy, and helping intentions”, The Journal of Positive Psychology, vol. 9, no. 1, pp. 54-65, 2014.
S. I. Donaldson, M.Dollwet, and M.A. Rao, "Happiness, excellence, and optimal human functioning revisited: Examining the peer-reviewed literature linked to positive psychology”, The Journal of Positive Psychology, vol. 10, no. 3, pp. 185-195, 2015.
A. Kolakowska, A. Landowska, M. Szwoch, W. Szwoch and M. R. Wrobel, Emotion recognition and its applications, in Human-Computer Systems Interaction: Backgrounds and Applications 3. Advances in Intelligent Systems and Computing, Vol. 300. Switzerland: Springer, 2014, pp. 51-62.
D. Dagar, A. Hudait, H.K. Tripathy and M.N. Das, "Automatic emotion detection model from facial expression," in International Conference on Advanced Communication, Control and Computing Technologies, Ramanathapuram, India, 2016, pp. 77-85.
R. Ezhilarasi and R.I. Minu, "Automatic Emotion Recognition and Classification”, Procedia Engineering, vol. 38, pp. 21-26, 2012.
R. A. Shaikh Nilofer, R.P. Gadhe, R.R. Deshmukh, V.B. Waghmare and P.P. Shrishrimal "Automatic emotion recognition from speech signals: A Review," International Journal of Scientific & Engineering Research, vol. 6, no. 4, pp. 636-639, 2015.
H. Xin, Y. Jianwen, S. Mengdi, Y. Chun, W. Fei, S. Pei, W.Daifa and Z. Dan, "EEG Correlates of Ten Positive Emotions," Frontiers in Human Neuroscience, vol. 11, no. 26, pp. 1-12, 2017.
A. Deak, "Brain and emotion: Cognitive neuroscience of emotions”, Review of Psychology, vol. 18, no. 2, pp. 71-80, 2011.
T. Avinash, L. Dikshant and S. Seema, "Methods of Neuromarketing and Implication of the Frontal ThetaAsymmetry induced due to musical stimulus as choice modeling”, Procedia Computer Science, vol. 132, pp. 55–67, 2018.
S. Fukuda, Emotional Engineering Volume 5. Switzerland: Springer, 2017.
P. M. A. Desmet, "Faces of Product Pleasure: 25 Positive Emotions in Human-Product Interactions”, International Journal of Design, vol. 6, no. 2, pp. 1-15, 2012.
H. Zamani, A. Abas and M.K.M. Amin, "Eye Tracking Application on Emotion Analysis for Marketing Strategy”, Journal of Telecommunication, Electronic and Computer Engineering, vol. 8, no. 11, pp. 87-91, 2016.
V.L. Kinner, L. Kuchinke, A.M. Dierolf, C.J. Merz, T. Otto and O.T. Wolf, "What our eyes tell us about feelings: Tracking pupillary responses during emotion regulation processes," Psychophysiology, vol. 54, no. 4, pp. 508-518, 2017.
J. Fong. (2012). Eye-Opener: Why Do Pupils Dilate in Response to Emotional States? [Online]. Available: https://www.scientificamerican.com
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