As social creatures, non-verbal communication through facial expression is important in portraying emotions – and because of this, it’s interpreted rapidly and accurately.Regardless of culture, defined
facial expressions exist. It’s long been thought anger, surprise, contempt, disgust, happiness and sadness are recognised universally by humans, although even this has been questionedmore recently.
These expressions are often involuntary and their universality allows cross-cultural interpretation. Certain expressions can also be interpreted in a cross-species manner: the expression of an enraged dog prevents us from unwittingly approaching a potential danger whereas a contented dog invites our approach.
But when the emotional expression is intense – is it really that easy to interpret? A study released today in Science suggests we may actually struggle to discriminate extreme emotions.
Over the years I have worked with many students/clients on pragmatic language goals, or goals involving the social use of language. Most kids pick up social language automatically – but for those who don't it is fun and easy ...
Ray Kelly, New York Police Commissioner was recently on "Face the Nation". In the video interview included above he spoke about the city's controversial "Stop and Frisk" policy. At the 3:56 mark he begins, "...We just had a ...
Downloadable facial expressions for virtual characters are guaranteed to convey specific emotions, say psychologists.
One of the greatest living psychologists is an American called Paul Ekman. In the 1970s, Ekman and a colleague developed a way to categorise and assess human facial expressions. At the time, many psychologists believed that the expressions conveying specific emotions vary from one culture to another. But in a ground-breaking set of experiments carried out with cultures all over the world, Ekman showed that all humans share the same facial expressions for six basic emotions--anger, fear, joy, surprise, disgust and sadness. He went to develop a taxonomy of facial expressions called the Facial Action Coding.
However, there's a problem. While plenty of people have evaluated and calibrated expressions in humans, nobody has done the same for virtual characters. That's significant because humans may not interpret facial expressions in virtual characters in the same way as they do in humans.
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