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Emotion classification, the means by which one may distinguish or contrast one emotion from another, is a contested issue in emotion research and in affective science. Researchers have approached the classification of emotions from one of two fundamental viewpoints: [citation needed] that emotions are discrete and fundamentally different constructs
If the adult is incapable of recognizing and distinguishing emotional expressions in the child, it can influence the child's capacity to understand emotional expressions. [ citation needed ] The attention-appraisal model of alexithymia by Preece and colleagues describes the mechanisms behind alexithymia within a cognitive-behavioral framework ...
Affective neuroscience is the study of how the brain processes emotions.This field combines neuroscience with the psychological study of personality, emotion, and mood. [1] The basis of emotions and what emotions are remains an issue of debate within the field of affective neuroscience.
Carroll Ellis Izard (October 8, 1923 – February 5, 2017) [1] was an American research psychologist [2] [3] [4] known for his contributions to differential emotions theory (DET), [5] [6] and the Maximally Discriminative Affect Coding System (MAX) on which he worked with Paul Ekman. [7]
Discrete emotion theory is the claim that there is a small number of core emotions. For example, Silvan Tomkins (1962, 1963) concluded that there are nine basic affects which correspond with what we come to know as emotions: interest , enjoyment , surprise , distress , fear , anger , shame , dissmell (reaction to bad smell) and disgust .
Emotion perception refers to the capacities and abilities of recognizing and identifying emotions in others, in addition to biological and physiological processes involved. . Emotions are typically viewed as having three components: subjective experience, physical changes, and cognitive appraisal; emotion perception is the ability to make accurate decisions about another's subjective ...
Emotion recognition in conversation (ERC) is a sub-field of emotion recognition, that focuses on mining human emotions from conversations or dialogues having two or more interlocutors. [1] The datasets in this field are usually derived from social platforms that allow free and plenty of samples, often containing multimodal data (i.e., some ...
Emotion recognition is the process of identifying human emotion. People vary widely in their accuracy at recognizing the emotions of others. Use of technology to help people with emotion recognition is a relatively nascent research area. Generally, the technology works best if it uses multiple modalities in context.