Difference between revisions of "Emotion from Interaction"

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[[Category:Research Topic]]
 
[[Category:Research Topic]]
This research topic belongs to the research areas [[belongsToArea::BioSignal Analysis]] and [[Affective Computing]].
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This research topic belongs to the research area [[belongsToArea::Affective Computing]].
  
The projects in this area are aimed at studying the relationship between emotion and cognition in a human-computer system. Since  emotion influences the behavior, we believe that from the analysis of the interaction with a device it would be possible to discriminate the user emotional state.
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The projects in this topic are aimed at studying the relationship between emotion and cognition in a human-computer system. Since  emotion influences the behavior, we believe that from the analysis of the interaction with a device it would be possible to discriminate the user emotional state.
 
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The Automatic Emotions Recognition group has now a website: [http://www.emoticalab.com emoticaLab]. Find out any information about research topics, products and news about our world.  
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==Ongoing Projects==
 
==Ongoing Projects==

Revision as of 16:36, 2 April 2010

This research topic belongs to the research area Affective Computing.

The projects in this topic are aimed at studying the relationship between emotion and cognition in a human-computer system. Since emotion influences the behavior, we believe that from the analysis of the interaction with a device it would be possible to discriminate the user emotional state.

Ongoing Projects

Projects on this topic:


Project proposals

Finished Projects


Students that have worked on the project

Giorgio Luparia worked on the FaDe project.

Goran Burek has defined a protocol to identify specific emotional states (e.g., attention) and collect and analyze data from different users, comparing them with biological data acquired during the interaction Emotion From Mouse and Keyboard.