Affective game computing: A survey
GN Yannakakis, D Melhart - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
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 …
methods, and tools as applied to games. We review this emerging field, namely affective …
[图书][B] Artificial intelligence and games
GN Yannakakis, J Togelius - 2018 - Springer
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 …
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …
A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
The ordinal nature of emotions: An emerging approach
GN Yannakakis, R Cowie… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Computational representation of everyday emotional states is a challenging task and,
arguably, one of the most fundamental for affective computing. Standard practice in emotion …
arguably, one of the most fundamental for affective computing. Standard practice in emotion …
Video-based engagement estimation of game streamers: An interpretable multimodal neural network approach
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 …
for estimating the engagement levels of game streamers. We incorporate three modalities …
The arousal video game annotation (AGAIN) dataset
How can we model affect in a general fashion, across dissimilar tasks, and to which degree
are such general representations of affect even possible? To address such questions and …
are such general representations of affect even possible? To address such questions and …
GameVibe: a multimodal affective game corpus
As online video and streaming platforms continue to grow, affective computing research has
undergone a shift towards more complex studies involving multiple modalities. However …
undergone a shift towards more complex studies involving multiple modalities. However …
Deep unsupervised multi-view detection of video game stream highlights
C Ringer, MA Nicolaou - … of the 13th International Conference on the …, 2018 - dl.acm.org
We consider the problem of automatic highlight-detection in video game streams. Currently,
the vast majority of highlight-detection systems for games are triggered by the occurrence of …
the vast majority of highlight-detection systems for games are triggered by the occurrence of …
Physiological-based emotion detection and recognition in a video game context
Affective gaming is a hot field of research that exploits human emotion for the enhancement
of player's experience during gameplay. Physiological signal is an effective modality that …
of player's experience during gameplay. Physiological signal is an effective modality that …
Predicting Player Engagement in Tom Clancy's The Division 2: A Multimodal Approach via Pixels and Gamepad Actions
This paper introduces a large scale multimodal corpus collected for the purpose of analysing
and predicting player engagement in commercial-standard games. The corpus is solicited …
and predicting player engagement in commercial-standard games. The corpus is solicited …