This article surveys the current state-of-the-art in affective computing (AC) principles,
methods, and tools as applied to games. We review this emerging field, namely affective …

Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …

This paper attempts to give a high-level overview of the field of artificial and computational
intelligence (AI/CI) in games, with particular reference to how the different core research …

Player modeling is the study of computational models of players in games. This includes the
detection, modeling, prediction and expression of human player characteristics which are …

This paper describes the Mario AI benchmark, a game-based benchmark for reinforcement
learning algorithms and game AI techniques developed by the authors. The benchmark is …

Emotion has been investigated from various perspectives and across several domains
within human-computer interaction (HCI) including intelligent tutoring systems, interactive …

In this paper, we propose a non-intrusive and nonrestrictive multimodal deep learning model
for estimating the engagement levels of game streamers. We incorporate three modalities …

In this paper we propose an approach for personalising the space in which a game is played
(ie, levels) dependent on classifications of the user's facial expression—to the end of …

Estimating affective and cognitive states in conditions of rich human-computer interaction,
such as in games, is a field of growing academic and commercial interest. Entertainment …