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arXiv · 2410.02967

Label-Free Subjective Player Experience Modelling via Let's Play Videos

Dave Goel·Athar Mahmoudi-Nejad·Matthew Guzdial
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Abstract

Player Experience Modelling (PEM) is the study of AI techniques applied to modelling a player's experience within a video game. PEM development can be labour-intensive, requiring expert hand-authoring or specialized data collection. In this work, we propose a novel PEM development approach, approximating player experience from gameplay video. We evaluate this approach predicting affect in the game Angry Birds via a human subject study. We validate that our PEM can strongly correlate with self-reported and sensor measures of affect, demonstrating the potential of this approach.

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Dave Goel, Athar Mahmoudi-Nejad, Matthew Guzdial. 2024-10-03. Label-Free Subjective Player Experience Modelling via Let's Play Videos. https://arxiv.org/abs/2410.02967

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