Faculty in English

!letras! [B]Computers estimate emotions [/B]

Many computers are already able to see and hear. However, they have no way of telling whether their users are happy or angry. At CeBIT 2006, researchers will be presenting techniques that could one day enable the digital servant to respond to the mood of its human master.
Several recent studies have found that computer users not only love and cherish their machines, but very often maltreat them. Experts have identified aggression towards the PC as a genuine problem that deserves greater attention in the academic field. The kicks and blows of frustrated users cause computer damage that cannot be dismissed as negligible, neither in terms of personal property nor on a commercial and economic level. If only for this reason, it would be good for computers to assess their users’ emotions correctly and respond accordingly.
This area of research into human-computer interaction becomes seriously relevant when it comes to developing software and hardware. Vehicle designers have known for a long time that drivers and pilots feel better and make fewer errors if they are sitting comfortably and can find the controls where they expect them to be. They are much more relaxed when they reach their destination, and may even look forward to their next trip. Why should matters be any different for well-tempered computer users?
The first question asked by scientists at the Fraunhofer Institute for Computer Graphics Research IGD in Rostock was: How can the computer possibly find out anything about its human operator’s frame of mind? Emotions are given away by peripheral physiological processes. Some of these, such as posture, fidgeting or frowning, are easy to detect and can be observed and classified by a camera with image analysis software. Heartbeat and breathing rate, blood pressure, skin temperature and electrical resistance of the skin, on the other hand, are rather more subtle factors.
“We have developed a glove that has sensors for measuring parameters like these,” says Christian Peter, engineer at the department for Human-Centered Interaction Technologies. “It is connected to a device that evaluates and saves the data. We are also working on techniques that will enable computers to interpret facial expressions and extract emotional elements from voice signals.”
Interpreting all the data is difficult too, since emotions are by their very nature ambiguous, transient and hard to describe. The method can only work if the user trains the computer in advance – but the IGD researchers have succeeded in doing even this. Visitors of CeBIT can find out how in Hall 9. The world’s biggest computer exhibition will be held in Hanover on March 9 to 15, 2006.

[FONT=“Courier New”][I]For further information, please contact:
Christian Peter
christian.peter@igd-r.fraunhofer.de [/I][/FONT]


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Faculty in English / Cool Links

Bireme: Virtual Health Library (VHL)

VHL is a hub for online medical and scientific information in English, Spanish and Portuguese. It offers a literature search engine enabling users to search scientific publications using any one of eighteen international databases, a health dictionary, and a science “information locator”, sorted by topic. National gateways provide links to and information about relevant institutes, literature and initiatives.


[QUOTE]Experts have identified aggression towards the PC as a genuine problem that deserves greater attention in the academic field[/QUOTE]
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How are depression and the inability to express emotions related?

Previous research on alexithymia (the inability to express emotions)and depression has led to a controversy over whether alexithymia should be viewed as a state-dependent phenomenon or as a stable personality trait.
The aim of a 5-year follow-up study published in the 2006 March issue of Psychotherapy & Psychosomatics, was to examine the temporal stability of alexithymia in outpatients suffering from major depression. The study population comprised 116 (49 male and 67 female) outpatients with major depression. Alexithymic features were assessed with the Toronto Alexithymia Scale (TAS-20) and the degree of depression with the Beck Depression Inventory. The patients were retested after a period of 5 years. Mean alexithymia and depression scores decreased significantly over the 5-year period.
Alexithymia and depression were associated with each other, but the high test-retest correlations in the TAS-20 scores indicate relative stability of alexithymia. The three factors of alexithymia behaved differently. Difficulty in identifying feelings and difficulty in describing feelings were associated with alleviation of depressive symptoms, whereas externally oriented thinking was not.
Alexithymia seems to be related with the severity of depression in outpatients with major depression, but it also shows relative stability over 5 years. These findings support the view that the alexithymia construct represents a stable personality trait, but is also a state-dependent phenomenon.

Reference URL
http://www.karger.com !letras!

[SIZE=“2”][I]For further information, please contact:
Simo Saarijärvi
Department of Psychiatry, Tuka University Hospital
simo.saarijarvi@tyks.fi [/I][/SIZE]

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Theres already an english topic... whats the idea here?

I do not know

Improving the science and technology connection


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