Toward Dynamic Difficulty Adjustment with Audio Cues by Gaussian Process Regression in a First-Person Shooter-Reference-Cited by-同舟云学术

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Toward Dynamic Difficulty Adjustment with Audio Cues by Gaussian Process Regression in a First-Person Shooter

Published:2022 Issue: Volume: Page:154-161
ISSN:0302-9743
Container-title:Entertainment Computing – ICEC 2022
language:
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Author:

Li Xiaoxu,Wira Marcel,Thawonmas Ruck^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-20212-4_12

Reference12 articles.

1. Felix, A., King, C.L., Gunawan, A.A.S.: Audio Influence on Game atmosphere during various Game Events. Proc. Comput. Sci. 179, 222–231 (2021)

2. Ribeiro, G., Rogers, K., Altmeyer, M., Terkildsen, T., Nacke, L.E.: Game atmosphere: effects of audiovisual thematic cohesion on player experience and psychophysiology. In: Proceedings of the Annual Symposium on Computer-Human Interaction in Play on Proceedings, pp. 107–119 (2020)

3. Lecture Notes in Computer Science;K Tuuri,2021

4. Cassidy, G., MacDonald, R.: The effects of music choice on task performance: a study of the impact of self-selected and experimenter-selected music on driving game performance and experience. Music. Sci. 13, 357–386 (2009)

5. Liu, C., Agrawal, P., Sarkar, N., Chen, S.: Dynamic difficulty adjustment in computer games through real-time anxiety-based affective feedback. Int. J. Hum. Comput. Interact. 25, 506–529 (2009)

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