Abstract
This paper presents the problem of creating affect-aware video games that use different information channels, such as image, video, physiological signals, input devices, and player’s behaviour, for emotion recognition. Presented case studies of three affect-aware games show certain conditions and limitations for using specific signals to recognize emotions and lead to interesting conclusions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Picard, R.: Affective computing: from laughter to IEEE. IEEE Trans. Affect. Comput. 1(1), 11–17 (2010)
Schell, J.: The Art of Game Design. Morgan Kaufmann Publisher, Elsevier (2008)
Gunes, H., Piccardi, M.: Affect recognition from face and body: early fusion vs. late fusion. In: IEEE International Conference on Systems, Man and Cybernetics, vol. 4, pp. 3437–3443 (2003)
Szwoch, W.: Using physiological signals for emotion recognition. In: Proceedings of the 6th International Conference on Human System Interaction, pp. 556–561 (2013)
Li, L., Chen, J.-H.: Emotion recognition using physiological signals. In: International Conference on Intelligent Information Hiding and Multimedia Signal Processing, pp. 355–358 (2006)
Zeng, Z., Pantic, M., Roisman, G., Huang, T.: A survey of affect recognition methods: audio, visual, and spontaneous expressions. IEEE Trans. Pattern Anal. Mach. Intell. 31(1), 39–58 (2009)
Kołakowska, A., Landowska, A., Szwoch, M., Szwoch, W., Wróbel, M.R.: Emotion recognition and its application in software engineering. In: Proceedings of 6th International Conference on Human System Interaction (2013)
Landowska, A., Szwoch, M., Szwoch, W.: Methodology of affective intervention design for intelligent systems. Interact. Comput. 28, 737–759 (2016)
Ekman, P., Friesen, W.V., Hager, J.C.: Facial action coding system, A Human Face (2002)
Russell, J.A., Mehrabian, A.: Evidence for a three-factor theory of emotions. J. Res. Personal. 11, 273–294 (1977)
Jerritta, S., Murugappan, M., Nagarajan, R., Wan, K.: Physiological signals based human emotion recognition: a review. In: Proceedings of the IEEE 7th International Colloquium on Signal Processing and its Applications (2011)
Chen, M., Han, J., Guo, L., Wang, J., Patras, I.: Identifying valence and arousal levels via connectivity between EEG channels. In: International Conference on Affective Computing and Intelligent Interaction (2015)
Kołakowska, A.: A review of emotion recognition methods based on keystroke dynamics and mouse movements. In: IEEE Human System Interaction (2013)
Maehr, W.: eMotion - Estimation of the User’s Emotional State by Mouse Motions, Diploma thesis for Fachhochschule Vorarlberg, Dornbirn, Austria (2005)
Szwoch, M.: Design elements of affect aware video games. In: Proceedings of the Mulitimedia, Interaction, Design and Innnovation - MIDI 2015, pp. 1–7 (2015)
Witczak, K.: Affect-aware Educational Video Game using Wearable Device. MA thesis, Gdansk University of Technology, Gdansk (2017)
Chudy, M., Zyntek, T., Brudek, B.: Affect-aware educational game. MA thesis, Gdansk University of Technology, Gdansk (2017)
Karwowski, M., et al.: Affect-aware 3D Platform Game using Unity Engine. MA thesis, Gdansk University of Technology, Gdansk (2018)
Acknowledgment
This work was supported by DS Funds of ETI Faculty, Gdansk University of Technology.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Szwoch, M., Szwoch, W. (2019). Using Different Information Channels for Affect-Aware Video Games - A Case Study. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications Challenges 10. IP&C 2018. Advances in Intelligent Systems and Computing, vol 892. Springer, Cham. https://doi.org/10.1007/978-3-030-03658-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-030-03658-4_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03657-7
Online ISBN: 978-3-030-03658-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)