Player Modeling through Affective Computing - IEEE CoG2022 Tutorial V

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Tutorial V of 2022 IEEE Conference on Games given by Phil Lopes and David Melhart, with the title "Player Modeling through Affective Computing."

Affective computing is a field of computer science that focuses on sensing and predicting affect and emotions. Games provide a rich and robust testbed for affective computing applications due to a unique mix of constrained environments and emergent interaction. However, affective computing also has value in game research for both academic and industrial applications.

Methodologies lifted from affective computing can help game researchers build more robust predictive models of behavior and player experience. This tutorial aims to introduce affective computing concepts and methods for player modeling.

The first part of the tutorial gives a broad overview of affective computing in the games domain, including fundamental concepts, best practices, tools, and industry applications. The second part of the tutorial focuses on the frontiers of affective computing research in games and touch on the topics of VR and research into embodied cognition.

Tutorial V of 2022 IEEE Conference on Games given by Phil Lopes and David Melhart, with the title "Player Modeling through Affective Computing."

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