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Papers only#On-device & performance
Oct 7Wed
  1. arXiv Game AI27

    A space-agnostic visual game analytics tool for HoloLens 2: adaptive spatial reconstruction and realtime object detection

    A space-agnostic visual game analytics tool for mixed reality (MR) game development has been proposed, combining adaptive spatial reconstruction with realtime object detection and running on the Microsoft HoloLens 2 MR headset. The tool is designed for the complexity of MR games, which must integrate real-world and digital components, and for the difficulty existing visual analytics tools have in achieving space-agnostic generalization. The researchers hope it will deepen understanding of players' surroundings and open a new direction for visual analytics in MR game development.

Oct 6Tue
  1. arXiv Game AI35

    Emoception proposes the SALFT framework, selectively fine-tuning a video ViT to recognize changes in player arousal

    The paper proposes SALFT (Selective Affective Layer Fine-Tuning), a framework that fine-tunes a Video Vision Transformer using a selection criterion based on layer-wise parameter L2 norm change to recognize changes in player arousal from gameplay footage.

    Why it matters: The paper uses layer-wise parameter L2 norm change as its selection criterion and shows that updating only about 8% of parameters approaches full fine-tuning, useful for comparing compute costs against your own player emotion recognition pipeline.