The expressions we see in the faces of others engage a number of different cognitive processes. Emotional expressions elicit rapid responses, which often imitate the emotion in the observed face. These effects can even occur for faces presented in such a way that the observer is not aware of them. We are also very good at explicitly recognizing and describing the emotion being expressed. A recent study, contrasting human and humanoid robot facial expressions, suggests that people can recognize the expressions made by the robot explicitly, but may not show the automatic, implicit response. The emotional expressions presented by faces are not simply reflexive, but also have a communicative component. For example, empathic expressions of pain are not simply a reflexive response to the sight of pain in another, since they are exaggerated when the empathizer knows he or she is being observed. It seems that we want people to know that we are empathic. Of especial importance among facial expressions are ostensive gestures such as the eyebrow flash, which indicate the intention to communicate.
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Communication is a central aspect of everyday life, a fact that is reflected in the wide variety of ways that people exchange information, not only with words, but also using their face and body. The video sequence needs to be at least as long as one tenth of a second to gain this dynamic advantage. A facial expression can state a lot.
They are extremely important to the social interaction of individuals. Background scenes in which faces are perceived provide important contextual information for facial expression processing. The purpose of this study was to explore the time course of emotional congruency effects in processing faces and scenes simultaneously by recording event-related potentials ERPs. The behavioral results found that the categorization of facial expression was faster and more accurate when the face was emotionally congruent than incongruent with the emotion displayed by the scene. In ERPs the late positive potential LPP amplitudes were modulated by the emotional congruency between faces and scenes. Specifically, happy faces elicited larger LPP amplitudes within positive than within negative scenes and fearful faces within negative scenes elicited larger LPP amplitudes than within positive scenes. The results did not find the scene effects on the P1 and N components. These findings indicate that emotional congruency effects could occur in late stages of facial expression processing, reflecting motivated attention allocation. A lot of previous studies have explored isolated facial expression processing. However, individuals rarely interact directly with context-less faces.
The views expressed here do not necessarily reflect the views of these organizations. Facial expressions are important parts of how we communicate and how we develop impressions of the people around us. He hypothesized that certain facial expressions are innate, and therefore universally expressed and recognized across all cultures. They enlisted members of the Fore tribe in Papua New Guinea, who at the time had little contact with Western culture, to do an emotion recognition task. The researchers also took photos of the facial expressions of the Fore people and showed them to Americans later. This is strong evidence that certain emotions are evolutionarily based. Indeed, facial expression may be one of the only universal languages.