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Affective Game Computing: A Survey
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AI
DOI：10.1109/JPROC.2023.3315689.png)
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摘要
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This article surveys the current state-of-the-art in affective computing (AC) principles, methods, and tools as applied to games. We review this emerging field, namely affective game computing, through the lens of the four core phases of the affective loop: game affect elicitation, game affect sensing, game affect detection, and game affect adaptation. In addition, we provide a taxonomy of terms, methods, and approaches used across the four phases of the affective game loop and situate the field within this taxonomy. We continue with a comprehensive review of available affect data collection methods with regard to gaming interfaces, sensors, annotation protocols, and available corpora. This article concludes with a discussion on the current limitations of affective game computing and our vision for the most promising future research directions in the field.
Keyword:
Affective computing (AC)
affective loop
games
player modeling
survey
taxonomy
期刊
IF:
25.9
论文数:
9.9K
被引数:
4.5W
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