Abstract
Perfectly adaptive music is a long dreamed goal for game audio designers. Although numerous systems have been developed in both academic and industrial contexts, currently there is no unified method for producing this type of content – not even an agreement on input variables, output variations or assessment criteria. Our research aims to create an audio system for video games that improves the experience by adapting environmental music to emotions associated with the ongoing narrative. This system combines short audio tracks of pre-designed music in real time, using player behavior and emerging feelings as main cues. In this paper, we identify some of the issues that dynamic music faces through the study of current adaptive and procedural techniques, and describe how our sound system architecture attempts to solve them. In the end, we claim that a sonification method like the proposed one could improve player engagement by adapting music to each game situation, driven by a solid focus on emotional storytelling.
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Acknowledgements
This article was funded by the Complutense University of Madrid (grant CT27/16-CT28/16 for predoctoral research), in collaboration with Santander Bank and NIL research group.
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López Ibáñez, M., Álvarez, N., Peinado, F. (2018). Towards an Emotion-Driven Adaptive System for Video Game Music. In: Cheok, A., Inami, M., Romão, T. (eds) Advances in Computer Entertainment Technology. ACE 2017. Lecture Notes in Computer Science(), vol 10714. Springer, Cham. https://doi.org/10.1007/978-3-319-76270-8_25
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DOI: https://doi.org/10.1007/978-3-319-76270-8_25
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