Valence, sensations and appraisals co-occurring with feeling moved: evidence on kama muta theory from intra-individually cross-correlated time series.
Kama muta
being moved
elevation
social emotion
time series
Journal
Cognition & emotion
ISSN: 1464-0600
Titre abrégé: Cogn Emot
Pays: England
ID NLM: 8710375
Informations de publication
Date de publication:
09 2022
09 2022
Historique:
pubmed:
23
6
2022
medline:
23
11
2022
entrez:
22
6
2022
Statut:
ppublish
Résumé
Emotional experiences typically labelled "being moved" or "feeling touched" may belong to one universal emotion. This emotion, which has been labelled "kama muta", is hypothesised to have a positive valence, be elicited by sudden intensifications of social closeness, and be accompanied by warmth, goosebumps and tears. Initial evidence on correlations among the kama muta components has been collected with self-reports after or during the emotion. Continuous measures during the emotion seem particularly informative, but previous work allows only restricted inferences on intra-individual processes because time series were cross-correlated across samples. In the current studies, we instead use a within-subject design to replicate and extend prior work. We compute intra-individual cross-correlations between continuous self-reports on feeling moved and (1) positive and negative affect; (2) goosebumps and subjective warmth and (3) appraisals of closeness and morality. Results confirm the predictions of kama muta theory that feeling moved by intensified communal sharing cross-correlates with appraised closeness, positive affect, warmth and (less so) goosebumps, but not with negative affect. Contrary to predictions, appraised morality cross-correlated with feeling moved as much as appraised closeness did. We conclude that strong inferences on emotional processes are possible using continuous measures, replace earlier findings, and are largely in line with theorising.
Identifiants
pubmed: 35731041
doi: 10.1080/02699931.2022.2089871
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM