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Unveiling the underlying structure of awe in virtual reality and in autobiographical recall: an exploratory study

Articolo
Data di Pubblicazione:
2024
Abstract:
Over the last two decades, awe has attracted the attention of an increasing number of researchers. The use of virtual reality has been identified as one of the most effective techniques for eliciting awe, in addition to more personalized methods for inducing emotion, such as autobiographical recall. However, previous measures of awe were unable to uncover the hidden structure of this experience. Awe experience scale (AWE-S) has been validated as a comprehensive measure of contingent awe in English, providing new opportunities for analysis. In this two-phases study, we investigated whether the latent structure of the experience of awe evoked by the autobiographical recall technique (Study 1) overlapped with that induced by exposing participants to a validated virtual reality awe-eliciting training (Study 2). The original English AWE-S structure held both in autobiographical recall induction and virtual reality-based elicitation. Despite evidence of overlap between English and Italian structures, low correlations were found between Italian trait measures used to test the concurrent validity of the AWE-S in the Italian sample and AWE-S state dimensions. This study highlights cultural differences in awe experience, trait, and state variations, and provides new insights into the standardized induction of this emotion through simulated environments.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
Autobiographical recall; Awe; AWE-S; Confirmatory factor analysis; Emotion; Exploratory factor analysis; Virtual reality
Elenco autori:
Chirico A.; Borghesi F.; Yaden D.B.; Pizzolante M.; Sarcinella E.D.; Cipresso P.; Gaggioli A.
Autori di Ateneo:
BORGHESI FRANCESCA
CIPRESSO Pietro
Link alla scheda completa:
https://iris.unito.it/handle/2318/2050031
Link al Full Text:
https://iris.unito.it/retrieve/handle/2318/2050031/1506122/s41598-024-62654-3.pdf
Pubblicato in:
SCIENTIFIC REPORTS
Journal
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Settori (7)


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