Going Further in Affective Computing: How Emotion Recognition Can Improve Adaptive User Interaction
| Autor: | Felix Schüssel, Günther Palm, Sascha Meudt, Miriam Schmidt-Wack, Michael Weber, Friedhelm Schwenker, Frank Honold |
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| Rok vydání: | 2016 |
| Předmět: |
Multimedia
Computer science Local binary patterns Joins 020206 networking & telecommunications 02 engineering and technology computer.software_genre Outcome (game theory) Task (project management) Human–computer interaction 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Emotion recognition State (computer science) Architecture Affective computing computer |
| Zdroj: | Toward Robotic Socially Believable Behaving Systems-Volume I ISBN: 9783319310558 Toward Robotic Socially Believable Behaving Systems (I) |
| DOI: | 10.1007/978-3-319-31056-5_6 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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