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Proceedings ArticleDOI

"Feed the Fish": an affect-aware game

TLDR
An affective gaming interface and a user study which evaluates user response to affectiveGaming are reported on and the implementation of the game system, which takes a player's facial expressions as input and dynamically responds to the player by changing the game elements, is described.
Abstract
In this paper we report on an affective gaming interface and a user study which evaluates user response to affective gaming. "Feed the Fish" is an affect-aware game system which takes a player's facial expressions as input and dynamically responds to the player by changing the game elements. The goal of this system is to use human expressions to build a communication channel between the game and players so playing the game can be more enjoyable. We describe the implementation of the game system and discuss the result of the user study we have conducted with 22 participants. Participants enjoyed the game with the affect-aware system more than a non affective version of the game, and they felt it was more exciting since the game was more challenging and dynamic.

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Citations
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Proceedings ArticleDOI

Predicting Categorical Emotions by Jointly Learning Primary and Secondary Emotions through Multitask Learning

TL;DR: This work takes advantage of both types of annotations to improve the performance of emotion classification and shows that considering secondary emotion labels during the learning process leads to relative improvements of 7.9% in F1-score for an 8-class emotion classification task.
Proceedings ArticleDOI

"Let's Get Physiological, Physiological!": A Systematic Review of Affective Gaming

TL;DR: A framework is created to classify 162 publications within affectiveGaming, present findings on the current state of the field, and discuss how the findings, contextualized within the affective game loop, can guide the future of affective gaming.
Book ChapterDOI

Emotion Recognition for Affect Aware Video Games

TL;DR: A brief review of automatic multimodal affect recognition of facial expressions and emotions is given and the first result of emotions recognition using depth data as well as prototype affect aware video game are presented.
Posted Content

Curriculum Learning for Speech Emotion Recognition from Crowdsourced Labels

TL;DR: The authors proposed a method to design a curriculum for machine-learning to maximize the efficiency during the training process of deep neural networks (DNNs) for speech emotion recognition, where they used the disagreement between evaluators as a measure of difficulty for the classification task.
Proceedings ArticleDOI

Assessing engagement in an emotionally-adaptive applied game

TL;DR: A dynamic mechanism for affective game adaptation based on both emotion and arousal estimation is presented and implemented within an applied video game named "Rush for Gold" designed for implicit recognition of playing or learning styles.
References
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Journal ArticleDOI

Face recognition: A literature survey

TL;DR: In this paper, the authors provide an up-to-date critical survey of still-and video-based face recognition research, and provide some insights into the studies of machine recognition of faces.
Book

Unmasking the face

Paul Ekman
Journal ArticleDOI

Recognizing action units for facial expression analysis

TL;DR: An Automatic Face Analysis (AFA) system to analyze facial expressions based on both permanent facial features and transient facial features in a nearly frontal-view face image sequence and Multistate face and facial component models are proposed for tracking and modeling the various facial features.
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