Difference between revisions of "Emotion from Interaction"
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[[User:GiorgioLuparia|Giorgio Luparia]] worked on the [[FaDe]] project. | [[User:GiorgioLuparia|Giorgio Luparia]] worked on the [[FaDe]] project. | ||
[[User:GoranBurek|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]]. | [[User:GoranBurek|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]]. | ||
Revision as of 15:34, 2 April 2010
This research topic belongs to the research areas BioSignal Analysis and 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.
The Automatic Emotions Recognition group has now a website: emoticaLab. Find out any information about research topics, products and news about our world.
Contents
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.
