Introduction
Video game technology now enables a new set of experiences for players in addition to conventional video games. Although the intensity of the technological research in this field is shifting from graphics to AI design and characters with embodied agents [1], there have been few studies involving the assessment of real-time sequential, emotional changes of video-game players. Research of this issue and the implications may assist in preventing game addiction and decreasing one’s zest for learning. This paper proposes a novel interface to provide voice feedback to video-game players using real-time sequential emotion estimation from facial expressions.
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References
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Nosu, K., Kurokawa, T.: Facial Tracking for an Emotion-Diagnosis Robot to Support e-Learning. In: Proceedings of 2006 International Conference on Machine Learning and Cybernetics, pp. 3811–3816 (2006)
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Nosu, K., Kurokawa, T., Horita, H., Ohhazama, Y., Takeda, H. (2009). Voice Feed-Backing for Video Game Players by Real-Time Sequential Emotion Estimation from Facial Expression. In: Ruttkay, Z., Kipp, M., Nijholt, A., Vilhjálmsson, H.H. (eds) Intelligent Virtual Agents. IVA 2009. Lecture Notes in Computer Science(), vol 5773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04380-2_68
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DOI: https://doi.org/10.1007/978-3-642-04380-2_68
Publisher Name: Springer, Berlin, Heidelberg
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