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The name Differential Emotions Scale came from the examination of verbal labels and facial expressions. Research have shown that participants of different backgrounds (i.e. ethnicity, culture, language) are all able to agree on and can differentiate different facial expressions among the fundamental emotions.
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 .
The Affective Slider is an empirically validated digital scale for the self-assessment of affect composed of two slider controls that measure basic emotions in terms of pleasure and arousal, [6] which constitute a bidimensional emotional space called core affect, that can be used to map more complex conscious emotional states. [7]
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
Our emotional language has comparable descriptors, such as "hot-head" and "cool-breezy". The theory offers an explanation for the evolution of common facial expressions of emotion in mammals. Little experimental work has been done to extend the theory, however. Carroll Izard discussed gains and losses associated with the evolution of emotions ...
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Previously, one of the most commonly used scale to evaluate emotional response was the Semantic Differential. However, according to Lang, this method is costly in both time and effort used by researchers and participants to complete the experiment, and requires statistical expertise, such as factor analysis, for resolution, which may not be accessible for all researchers.