Abstract
Visual emotion perception is the ability of recognizing and identifying emotions through the visual interpretation of a situation or environment. In this paper we propose an innovative environment for supporting this type of studies, aimed at replacing current pencil-and-paper approaches. Besides automatizing the whole process, this environment provides new features that can enrich the study of emotion perception. These new features are especially interesting for the field of Human-Compute Interaction and Affective computing as they quantify the effects of experiencing different emotional dimensions on the individual’s interaction with the computer.
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References
Bradley, M.M., Lang, P.J.: Measuring emotion: the self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry 25(1), 49–59 (1994)
Cambria, E.: Affective computing and sentiment analysis. IEEE Intell. Syst. 31(2), 102–107 (2016)
Carneiro, D., Novais, P.: Quantifying the effects of external factors on individual performance. Future Gener. Comput. Syst. 66, 171–186 (2017)
Lang, P.J., Bradley, M.M., Cuthbert, B.N.: International affective picture system (IAPS): affective ratings of pictures and instruction manual. Technical report A-8 (2008)
Lewis, M.B.: Exploring the positive and negative implications of facial feedback. Emotion 12(4), 852 (2012)
Pimenta, A., Carneiro, D., Novais, P., Neves, J.: Monitoring mental fatigue through the analysis of keyboard and mouse interaction patterns. In: International Conference on Hybrid Artificial Intelligence Systems, pp. 222–231. Springer (2013)
Pinheiro, A., Liu, T., Zhao, Z., Nestor, P.G., McCarley, R.W., Niznikiewicz, M.A.: Emotional cues during simultaneous face and voice processing: electrophysiological insights (2012)
Rodrigues, M., Gonçalves, S., Carneiro, D., Novais, P., Fdez-Riverola, F.: Keystrokes and clicks: measuring stress on e-learning students. In: Management Intelligent Systems, pp. 119–126. Springer (2013)
Shukla, P., Solanki, R.: Web based keystroke dynamics application for identifying emotional state 2, 4489–4493 (2011)
Tsui, W.H., Lee, P., Hsiao, T.C.: The effect of emotion on keystroke: an experimental study using facial feedback hypothesis. In: Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, pp. 2870–2873. IEEE (2013)
Acknowledgements
This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT—Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.
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Carneiro, D., Rocha, H., Novais, P. (2017). An Environment for Studying Visual Emotion Perception. In: De Paz, J., Julián, V., Villarrubia, G., Marreiros, G., Novais, P. (eds) Ambient Intelligence– Software and Applications – 8th International Symposium on Ambient Intelligence (ISAmI 2017). ISAmI 2017. Advances in Intelligent Systems and Computing, vol 615. Springer, Cham. https://doi.org/10.1007/978-3-319-61118-1_29
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DOI: https://doi.org/10.1007/978-3-319-61118-1_29
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