Emotional granularity: Difference between revisions

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Emotions can be mapped out on a chart modeling the range of arousal (high to low) and valence (pleasure to displeasure) that is experienced during a particular emotion. For example, in the top right corner are the emotions with high arousal and high valence, which include excited, astonished, delighted, happy, and pleased. These emotions are all examples of positive emotions that are high in arousal. In the opposite corner is the low valence and low arousal section, containing miserable, depressed, bored, and tired as some examples.
 
Using the latter as an example, onean individual with high emotional granularity would be able to differentiate between feeling depressed, bored, tired, and miserable. An individual exhibiting low emotional granularity would clump together all low arousal and negative emotions.<ref name="Handbook of Emotions">{{cite book|first1=Kristen A.|last1=Lindquist|first2=Lisa Feldman|last2=Barrett|editor1-last=Lewis|editor1-first=Michael|editor2-first=Jeannette M.|editor2-last=Haviland-Jones|editor3-first=Lisa Feldman|editor3-last=Barrett|title=Handbook of Emotions|edition=Third|year=2008|publisher=[[Guilford Press]]|location=New York|isbn=978-1-59385-650-2|page=516|chapter=Emotional Complexity}}</ref> Perhaps inIn an experiment testing one's emotional granularity, as explained in the following section, a participant would be given hypothetical scenarios to seedetermine their ability to distinguish between emotions. For example, researchers wouldmight present a traumatic situation to seeobserve whether it induces anger, fear, frustration, or more than one of these emotions, indicating whether that the participant is able to produce discrete emotion labels, or instead clumps together these high arousal/negative emotions.
 
One influence on emotional granularity is language, because one's ability to access emotional language in their memory impacts their labels when making emotional judgments. The speed and accuracy that one exhibits when verbalizing discrete emotion labels for oneself or another depends on the available emotion words.<ref name=Zara>{{cite book|last=Zara|first=Aurélie, Valérie Maffiolo, Jean Claude Martin, [[Laurence Devillers]]|year=2007|publisher=Springer Berlin Heidelberg|location=Berlin|isbn=978-3-540-74889-2|pages=464–475|doi=10.1007/978-3-540-74889-2_41|title=Affective Computing and Intelligent Interaction|volume=4738|series=Lecture Notes in Computer Science|chapter=Collection and Annotation of a Corpus of Human-Human Multimodal Interactions: Emotion and Others Anthropomorphic Characteristics}}</ref>