1999
DOI: 10.1037/0022-3514.77.2.247
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Universal development of emotion categories in natural language.

Abstract: (1987) found that English emotion words fall into 25 categories of synonyms. To find emotion nomenclature universals, the authors used P. Shaver et al.'s taxonomy in a sample of the world's languages and found that emotion categories were added in most languages in a relatively similar generalized sequence. Labeled first were the categories of anger and guilt; followed in Stage 2 by adoration, alarm, amusement, and depression; in Stage 3 by alienation, arousal, and agony; and ending with eagerness in Stage 4. … Show more

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Cited by 74 publications
(53 citation statements)
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“…Given the complex blend of affective states involved in nostalgia, this is a challenging yet promising avenue for research. Similar challenges come into play when studying facial expressions of emotions commonly accepted as universal and adaptive, such as jealousy and love (Edelstein & Shaver, 2007;Hupka et al, 1999;Sabini & Silver, 2005). Like these emotions, nostalgic expressions may be more recognizable when dynamic (e.g., gazing into space followed by a sigh and a smile) or accompanied by contextual cues (e.g., an old photo).…”
Section: Implications and Future Research Directionsmentioning
confidence: 99%
See 1 more Smart Citation
“…Given the complex blend of affective states involved in nostalgia, this is a challenging yet promising avenue for research. Similar challenges come into play when studying facial expressions of emotions commonly accepted as universal and adaptive, such as jealousy and love (Edelstein & Shaver, 2007;Hupka et al, 1999;Sabini & Silver, 2005). Like these emotions, nostalgic expressions may be more recognizable when dynamic (e.g., gazing into space followed by a sigh and a smile) or accompanied by contextual cues (e.g., an old photo).…”
Section: Implications and Future Research Directionsmentioning
confidence: 99%
“…In this respect, nostalgia enhances two vital resources: initiative (agency) and social relationships (communion). Further research could examine whether nostalgia functions primarily to regulate internal states (i.e., an ego-focused emotion) or social behavior (i.e., a social control emotion; Hupka, Lenton, & Hutchison, 1999;Markus & Kitayama, 1991). Moreover, research should examine the extent to which the emotional experience and functions of nostalgia generalize across cultures.…”
Section: Implications and Future Research Directionsmentioning
confidence: 99%
“…This shortcoming is particularly obvious in comparison with other disciplines concerned with the study of emotion, where larger-scale studies considering evidence from many languages are much more common (e.g. Fontaine et al, in press;Hupka et al, 1999 ).…”
Section: Representativeness Of the Languages In Emotion Metaphor Resementioning
confidence: 99%
“…Despite these claims, Hupka et al believe that these assertions should not be cited as evidence that there are no universal categories of emotions and that the use of dictionaries falsely assumes translation equivalence. Hupka et al (1999) attempted to establish whether the naming of emotion categories evolved in a similar sequence across languages and to determine what may have been the motivation for the naming of the initial stages. The researchers used foreign dictionaries to establish whether an English emotion category had an equivalent term in the other languages.…”
Section: The Representation Of Emotion Concepts In Memorymentioning
confidence: 99%
“…Culture and social restraints and influences may cause this emotion to be expressed somewhat differently across cultures, but it is still linked to sadness and reflects a negative affect across all of the cultures studied. Hupka, Lenton, and Hutchison (1999) sought to claim that human universals are present for emotion words and emotion lexicons. They stated that universals have been demonstrated in natural language in semantics, phonology, grammar, and so on.…”
Section: The Representation Of Emotion Concepts In Memorymentioning
confidence: 99%