Results 241 to 250 of about 1,954,648 (281)
Some of the next articles are maybe not open access.

Affective Computing

Trends in Cognitive Sciences, 1998
by Rosalind Picard, MIT Press, 1997. $27.50 (xii+292 pages) ISBN 0 262 16170 2.
openaire   +3 more sources

Affective Computing in Games

2016
Being able to automatically recognize and interpret the affective state of the player can have various benefits in a Serious Game. The difficulty and pace of a learning game could be adapted, or the quality of the interaction between the player and the game could be improved – just to name two examples.
Guthier, Benjamin   +2 more
openaire   +2 more sources

The Affective Growth of Computer Vision

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
The success of deep learning has led to intense growth and interest in computer vision, along with concerns about its potential impact on society. Yet we know little about how these changes have affected the people that research and practice computer vision: we as a community spend so much effort trying to replicate the abilities of humans, but so ...
Norman Makoto Su, David J. Crandall
openaire   +2 more sources

Affective Computing: A Review

2005
Affective computing is currently one of the most active research topics, furthermore, having increasingly intensive attention. This strong interest is driven by a wide spectrum of promising applications in many areas such as virtual reality, smart surveillance, perceptual interface, etc.
Jianhua Tao 0001, Tieniu Tan
openaire   +1 more source

Affective computing: challenges

International Journal of Human-Computer Studies, 2003
A number of researchers around the world have built machines that recognize, express, model, communicate, and respond to emotional information, instances of "affective computing." This article raises and responds to several criticisms of affective computing, articulating state-of-the art research challenges, especially with respect to affect in human ...
openaire   +2 more sources

Affective Computing

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 1999
Although central to human development and functioning, emotions have, until recently, had a somewhat marginal status in scientific disciplines in general, and have been largely ignored in the more applied settings such as human factors. Over the past 10 years, however, research in emotion in both psychology and neuroscience has established that emotion
Eva Hudlicka   +8 more
openaire   +1 more source

Medical Affective Computing: Medical Informatics Meets Affective Computing

1998
From advisory systems that understand emotional attitudes toward medical outcomes, to wearable computers that compensate for communication disability, to computer simulations of emotions and their disorders, the research agendas of medical informatics and affective computing-how and why to create computers that detect, convey, and even have emotions ...
openaire   +2 more sources

The role of reinforcement in affective computation

2013 IEEE Symposium on Computational Intelligence for Creativity and Affective Computing (CICAC), 2013
In this paper we review the functional role that reinforcement plays in notions of affective computation and emotion. We consider three core components of emotional activity - emotion triggers, actions and action tendencies, and feeling states - and evaluate each component in relation to reinforcement learning and behaviour theory as well as with ...
Robert Lowe, Tom Ziemke
openaire   +1 more source

The role of reproducibility in affective computing

2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2017
The use of Affective Computing in the medical domain is gaining momentum, but is challenged through requirements arising through the inherent processing of personal sensitive data, that will effect comprehensive analysis reproducibility. Reproducibility is a key element in good research practice and a key ingredient to comprehensively validate AC ...
Felix Engel 0002   +4 more
openaire   +1 more source

Semantic Classifier for Affective Computing

2008 International Conference on Computational Intelligence for Modelling Control & Automation, 2008
One of the most important fields of affective computing is related to the hard problem of emotion recognition. At present, there are several approaches to the problem of automatic emotion recognition based on different methods, like Bayesian classifiers, support vector machines, linear discriminant analysis, neural networks or k-nearest neighbors ...
Mladen Stanojevic, Sanja Vranes
openaire   +2 more sources

Home - About - Disclaimer - Privacy