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Affect labeling is an implicit emotional regulation strategy that can be simply described as "putting feelings into words". Specifically, it refers to the idea that explicitly labeling one's, typically negative, emotional state results in a reduction of the conscious experience, physiological response, and/or behavior resulting from that emotional state. [1]
Observable responses to emotion (i.e., smiling) do not have a single meaning. A smile can be used to express happiness or anxiety, while a frown can communicate sadness or anger. [4] Emotionality is often used by experimental psychology researchers to operationalize emotion in research studies. [2]
Moreover, by using the experience sampling method different research questions can be analyzed regarding the use of mobile devices in research. Following on from this, Stieger and colleagues [12] used the experience sampling method to show that smartphones can be used to transfer computer-based tasks (CBTs) from the lab to the field.
Current areas of research include the neuroscience of emotion, using tools like PET and fMRI scans to study the affective picture processes in the brain. [ 8 ] From a mechanistic perspective, emotions can be defined as "a positive or negative experience that is associated with a particular pattern of physiological activity". [ 4 ]
An increasing interest in emotion can be seen in the behavioral, biological and social sciences. Research over the last two decades suggests that many phenomena, ranging from individual cognitive processing to social and collective behavior, cannot be understood without taking into account affective determinants (i.e. motives, attitudes, moods, and emotions). [1]
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 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
Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.