mlsanityData to 14 Oct 2026

Affective Game Computing: A Survey

arXiv 2309.14104 ↗First posted 25 Sep 2023cs.HC cs.LG cs.MMcited by 11

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Abstract (arXiv)

This paper surveys the current state of the art in affective computing 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 regards to gaming interfaces, sensors, annotation protocols, and available corpora. The paper 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.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 44 of its 266 references that are in the map. First posted on arXiv 25 Sep 2023.

Builds on

44 of 266 references.

References · 44

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32 more
  1. 2019Obstacle Tower: A Generalization Challenge in Vision, Control, and Planningcited by 54
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  3. 2018Building Ethics into Artificial Intelligencecited by 19
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  6. 2021The Pixels and Sounds of Emotion: General-Purpose Representations of Arousal in Gamescited by 15
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Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 7; 2025: 1; 2026: 3.

11 papers.

  1. 2024Large Language Models and Games: A Survey and Roadmapcited by 93
  2. 2024Measuring Diversity of Game Scenarioscited by 5
  3. 2024GameVibe: A Multimodal Affective Game Corpuscited by 5
  4. 2024Across-Game Engagement Modelling via Few-Shot Learningcited by 4
  5. 2026AI for Games in the Foundation Model Eracited by 3
  6. 2024Affectively Framework: Towards Human-like Affect-Based Agentscited by 2
  7. 2024Playing With Neuroscience: Past, Present and Future of Neuroimaging and Gamescited by 1
  8. 2024Closing the Affective Loop via Experience-Driven Reinforcement Learning Designerscited by 1
  9. 2025Expanding Horizons of Level Diversity via Multi-objective Evolutionary Learningcited by 0
  10. 2026Resource-Constrained Affect Modelling via Variance Regularisation Pruningcited by 0
  11. 2026Spook the Machine: Gamified Exploration of Human Imagination of Machine Fearcited by 0