Label-Free Subjective Player Experience Modelling via Let's Play Videos
<|reference_start|>Label-Free Subjective Player Experience Modelling via Let's Play Videos: 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.<|reference_end|>
@article{goel2024label-free,
    title={Label-Free Subjective Player Experience Modelling via Let's Play Videos},
    author={Dave Goel, Athar Mahmoudi-Nejad and Matthew Guzdial},
    journal={arXiv preprint arXiv:2410.02967},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.02967},
    primaryClass={cs.HC cs.AI cs.LG}
}