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Erschienen in:
More than the Modeling of Emotions: A Foreword Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

6. Going Further in Affective Computing: How Emotion Recognition Can Improve Adaptive User Interaction

verfasst von : Sascha Meudt, Miriam Schmidt-Wack, Frank Honold, Felix Schüssel, Michael Weber, Friedhelm Schwenker, Günther Palm

Erschienen in: Toward Robotic Socially Believable Behaving Systems - Volume I

Verlag: Springer International Publishing

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Abstract

This article joins the fields of emotion recognition and human computer interaction. While much work has been done on recognizing emotions, they are hardly used to improve a user’s interaction with a system. Although the fields of affective computing and especially serious games already make use of detected emotions, they tend to provide application and user specific adaptions only on the task level. We present an approach of utilizing recognized emotions to improve the interaction itself, independent of the underlying application at hand. Examining the state of the art in emotion recognition research and based on the architecture of Companion-System, a generic approach for determining the main cause of an emotion within the history of interactions is presented, allowing a specific reaction and adaption. Using such an approach could lead to systems that use emotions to improve not only the outcome of a task but the interaction itself in order to be truly individual and empathic.

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Vorheriges Kapitel Social Development of Artificial Cognition
Nächstes Kapitel Physical and Moral Disgust in Socially Believable Behaving Systems in Different Cultures
Fußnoten
1
In the referenced Figure, the two action items from the both displays are visually summarized and printed as one single node.
 
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Metadaten
Titel
Going Further in Affective Computing: How Emotion Recognition Can Improve Adaptive User Interaction
verfasst von
Sascha Meudt
Miriam Schmidt-Wack
Frank Honold
Felix Schüssel
Michael Weber
Friedhelm Schwenker
Günther Palm
Copyright-Jahr
2016
Buch
Toward Robotic Socially Believable Behaving Systems - Volume I

Print ISBN: 978-3-319-31055-8

Electronic ISBN: 978-3-319-31056-5

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-31056-5_6

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