Whether it's a lecture on stage，Still teaching in public，or the meeting of the meeting，How do individuals in the eyes of the eyes quickly perceive the emotional response of the group? In recent years，bet365 best casino games More and more researchers have begun to pay attention to how individuals identify group emotions，and expand the research of emoticon recognition from a single individual to a single individual to the research on both parties or small groups of interaction，This helps people better understand the processing mechanism of the emotional response of the group。

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First, automated processing。Human brain has the ability to explore even a small visual change，We can not only automatically extract the multi -faceted average emotion，And can automatically detect the changes in the average emotions of the surrounding groups。Human observer can extract the average emotion from a face that only presents 100ms or even 50ms at the same time。Haberman and WHITNEY research adopted a member identity judgment task，Requires the test judgment to judge 2 test faces at the same time，Which one has appeared in the four faces presented before。As a result, I found，When the emotions of the test face are close to the average emotion of 4 faces presented before，The test is more likely to report the test face.Bet365 lotto review 。This description，The subject inadvertently extracted the average emotions of the four faces presented before，This result provides evidence support for automated processing of multi -faceted emotions without consciousness。

The second is flexible sampling。Although the individual can automatically extract the average emotion of multi -faceted face，But does each face in multiple faces contribute the same to the average emotional emotion? That is, the average emotion of the facial set is calculated by the emotion of a few or a few faces in the face，Or is it calculated by the emotions of all faces? Researchers such as Whitney found，Under attention，A single side or abnormal emotional face in a compositional surface will be unconsciously processed。They add abnormal emotional faces to a set of faces (emotional faces with large differences with the average emotions with the face)，It is believed that if an abnormal emotional face is processed，Then when the individual calculates the average emotions, the emotional emotions of the abnormal face will be calculated。As a result, I found，When the differences of the emotional faces appear in the central concave vision (attention conditions)，Although the individual feels the average emotion of a set of faces，Unable to identify the differences of emotional faces，But the emotional information of the different faces is still calculated in the average emotion，Different emotional faces appear outside the field of vision (limited attention bet365 best casino games or no attention conditions)，The emotional information of the difference faces is not calculated in the average emotion。Rossi also found that under attention conditions，All facial emotions in a set of sides are finely processed，The extraction of the average emotion is the overall characteristic of the machining of each single emotional face。Summary of all faces emotional information，Then store short -term memory。

To sum up，The ability to extract multi -faceted average emotions is a very flexible process，This also allows us to adapt to a complex and changeable environment。The average emotion of a set of faces is simply considered that how many emotional faces in a set of faces are meaningless，We can't simply dual points，It is believed that the average emotional perception table signs a few faces or all faces in the collection。Different attention conditions、Observation time、Stimulation differences、Show position and other conditions，Individuals will adopt a flexible sampling strategy to extract the average emotion of multi -faceted face。

Three is limited capacity。Facing a complex visual environment，The limited nature of the human vision system determines，We must make a choice of information。Although early research discovery，Observer can automatically present 4 photos from one group at the same time、8 photos、16 or even 24 faces to extract the average emotion of the face set，It seems that we perceive the capacity of the multi -faceted average emotion is infinite。But with the deepening of group emotional research，bet365 best casino games More and more researchers come to the conclusion of limited capacity，and derive the following two representative hypothesis。Limited capacity hypothesis is based on the limited individual attention resources，Think in a certain period of time，Individuals can only extract the average emotion from a limited number of faces。Loeys and other researchers use extended synchronous sequences，​​Comparison Observer presents the facial set and present two faces composed of 16 faces at the same time and presents two faces composed of 8 faces to concentrate on the average emotion.。As a result, I found，Sequential presentation The performance of extraction of the average emotion is better than。This indicates that individual extraction average emotions are limited capacity。Two factor hypothesis further develops a limited pamper for capacity，I think the individual can extract the average emotion from the emotions of the individual，Not only depends on the size of the individual's attention，Also affected by the stimulus difference。PORTOIS The difference between the size of the emotional changes in the facial holes and the facial set，It is found that when the emotional differences in a set of forms change greatly，Increases the collection size and causes the ability to extract the average emotion to decrease，When the emotional difference changes, the change is hour，The ability to extract the average emotion is not affected by the size。

　　Brain mechanism of group emotional processing

Since the individual can identify a single emotional face，can also Bet365 lotto review quickly extract the average emotion from an emotional face，So is there a unique brain mechanism for individuals to perceive the average emotions of multi -faces? Many patients，Patients with disorderly facial faces、Disordering symptoms at the same time、Patients with unilateral vision ignoring and congenital facial disorder，Although the ability to identify a single emotional face is damaged，But retains the ability to perceive the average emotion of a perception，These are all provided directly or indirect evidence for the mastage of multi -faceted emotional processing.。

Steiner and other researchers and other researchers through a series of behaviors and functional magnetic resonance imaging experiments，To study how the brain is perceived through the emotions of the group，Come to quickly judge the current emotion。In the experiment，Requires the subject to avoid or approach one set of two sets of faces，These two sets of faces appear in the left half of the field of vision and right half。As a result, I found，During the process of group emotional treatment，Back -sided visual flow is preferred，The accuracy of the emotional perception of the group's emotional perception of the event forecast of the top leaf inner groove and the forehead，and the abdominal shuttle -shaped activity prediction predict the better perception of individual facial expressions。Therefore，When perceived the expression of the group and individual face，The brain hemisphere and the main visual flow have varying degrees of participation，bet365 Play online games Where，Back -to -side visual flow helps to extract the overall emotions of the crowd，and the abdominal visual flow is more helpful for the processing of individual faces。

In short，Individuals can quickly perceive the average emotion of multi -faceted face，and the unique brain area in the brain is responsible for perception of multi -faceted average emotions。Analysis、Study the characteristics of multi -faceted emotional perception and brain mechanism，It has its important application value and clinical significance。On the one hand，It happened、Research results in the development process and the brain network function connection behind it，Can be applied in the field of artificial intelligence，If the machine learning neural network is constructed; on the other hand，Research results in brain mechanism，Clinical diagnosis and treatment that can be applied to patients with facial disorder，And can also be used to explore the brain interface，Help patients with facial dislocation symptoms restore facehole recognition ability and related visual functions。

　　(this article was funded by the National Natural Science Foundation of China (31960181)

(Author Unit: School of Psychology, Northwest Normal University)