| Media Technology Research Centre |
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| Animating Virtual Humans | |||||||
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Autonomous avatars and virtual humans are the subjects of much research to make
them act in a human way. The architecture of these virtual
characters can be very complex, including modules simulating
cognitive processes, emotions, personality, vision, hearing, speech
and so on.
Our work is concerned with the expressiveness of virtual humans. In fact, even with the most complex architecture, virtual characters will never be believable unless real humans are able to sense feeling from the avatar's actions. Emotions play a very important role in human behaviour. They influence perception, decision making and memory. They also influence how actions are carried out by the character; this is what we call the expressiveness of a virtual character. We have developed a Dynamic Emotion Representation (DER) which is used to control the expressiveness of virtual characters. Our model represents three types of emotion, each one having different timescale influences. Primary Emotions give reactivity and adaptivity, by triggering emotional reaction patterns in less than a second. Secondary Emotions give an emotional value to objects involved in the cognitive processes, modify the perception of the world and change how actions are carried out. Secondary emotions may last upto a few minutes. Finally, the Mood Influence takes into consideration the general state of the character over hours or even days.
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| Research Results | |||||||
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The software is complete and can demonstrate a real-time face which responds
differently according to its history. It can link to a real-time chatbot, talk
to you and produce visual emotions.
See also Emmanuel Tanguy's home page. Virtual Human PapersOur papers are available for download by name or for download by year.
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| Funding Agency | |||||||
| The recent is funded by the Department of Computer Science, University of Bath. Earlier work was funded by EPSRC. | |||||||
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