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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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Research Report 2008

TL;DR: An overview of the research carried out at the Department of Computer and System Sciences Antonio Ruberti (DIS) of the Sapienza University of Rome, during the year 2008 is provided.
Journal ArticleDOI

Towards New Mappings between Emotion Representation Models

TL;DR: A procedure to elaborate new mappings is proposed, a set of metrics for evaluation of the mapping accuracy are recommended, and new mapping matrices for estimating the dimensions of a Pleasure-Arousal-Dominance model from Ekman’s six basic emotions are delivered.
Proceedings ArticleDOI

"Now you need to laugh!": investigating fun in games with children

TL;DR: A desktop game, which uses emotional facial expressions as an additional input channel for creating a virtual flower in a digital universe, which shows that the game provides the right amount of challenge to the players; it is approximately equally difficult for younger and older children.
Proceedings ArticleDOI

Emotions on the Go: Mobile Emotion Assessment in Real-Time using Facial Expressions

TL;DR: This work built and evaluated a person-dependent classifier, yielding an average classification improvement of 33% compared to classifying facial expressions only, and correlates the estimated emotions with concurrent app usage to draw insights into changes in mood.
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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