Story and Recall in First-Person Shooters by Dan Pinchbeck

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Action Recognition for Support of Adaptive Gameplay: A Case Study of a First Person Shooter by S. Kazmi, I. J. Palmer

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A Conceptual Framework for the Analysis of First-Person Shooter Audio and its Potential Use for Game Engines by Mark Grimshaw, Gareth Schott

“…We introduce and describe a new conceptual framework for the design and analysis of audio for immersive first-person shooter games, and discuss its potential implications for the development of the audio component of game engines. …”
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Towards an Information Model of Consistency Maintenance in Distributed Interactive Applications by Xin Zhang, Tomás E. Ward, Séamus McLoone

“…Results from an experimental study on a first-person shooter game are used to illustrate the utility of this measurement process. …”
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Optimal Skipping Rates: Training Agents with Fine-Grained Control Using Deep Reinforcement Learning by Adil Khan, Jiang Feng, Shaohui Liu, Muhammad Zubair Asghar

“…Similarly, ViZDoom is a game artificial intelligence research platform based on Doom used for visual deep reinforcement learning in 3D game environments such as first-person shooters (FPS). While training, the speed of the learning agent greatly depends on the number of frames the agent is permitted to skip. …”
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