Why Do We Watch? The Role of Emotion Gratifications and Individual Differences in Predicting Rewatchability and Movie Recommendation.

emotional gratifications extraversion movie recommendation need for affect need for cognition rewatchability

Journal

Behavioral sciences (Basel, Switzerland)
ISSN: 2076-328X
Titre abrégé: Behav Sci (Basel)
Pays: Switzerland
ID NLM: 101576826

Informations de publication

Date de publication:
19 Dec 2019
Historique:
received: 14 11 2019
revised: 11 12 2019
accepted: 18 12 2019
entrez: 22 12 2019
pubmed: 22 12 2019
medline: 22 12 2019
Statut: epublish

Résumé

The present study's main aim was to determine the predictors of movie rewatchability and recommendations. Using a sample of 318 participants, we first tested the structure of a gratification scale from watching a movie. Then, we examined the role of age, need for cognition, need for affect, extraversion, and emotional gratifications, in predicting individuals' interest in rewatching the movie and in making recommendations. As in the original proposal of the emotional gratification scale, the following dimensions were identified: fun, thrill, empathic sadness, release of emotions, social sharing, contemplative experiences, and character engagement, with acceptable model fit and reliability, convergent and divergent validity. Social sharing, contemplate experiences, need for affect and age were significant predictors of movie recommendation; whereas social sharing, thrill, extraversion, and age contributed most to explaining rewatching interest. This study highlights the importance of considering distinct gratifications and individual differences in predicting rewatching and movie recommendation.

Sections du résumé

BACKGROUND BACKGROUND
The present study's main aim was to determine the predictors of movie rewatchability and recommendations.
METHODS METHODS
Using a sample of 318 participants, we first tested the structure of a gratification scale from watching a movie. Then, we examined the role of age, need for cognition, need for affect, extraversion, and emotional gratifications, in predicting individuals' interest in rewatching the movie and in making recommendations.
RESULTS RESULTS
As in the original proposal of the emotional gratification scale, the following dimensions were identified: fun, thrill, empathic sadness, release of emotions, social sharing, contemplative experiences, and character engagement, with acceptable model fit and reliability, convergent and divergent validity. Social sharing, contemplate experiences, need for affect and age were significant predictors of movie recommendation; whereas social sharing, thrill, extraversion, and age contributed most to explaining rewatching interest.
CONCLUSION CONCLUSIONS
This study highlights the importance of considering distinct gratifications and individual differences in predicting rewatching and movie recommendation.

Identifiants

pubmed: 31861632
pii: bs10010008
doi: 10.3390/bs10010008
pmc: PMC7016603
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Fundação para a Ciência e a Tecnologia
ID : PTDC/CCI-INF/29234/2017
Organisme : Fundação para a Ciência e a Tecnologia
ID : UID/PSI/03125/2019

Références

Annu Rev Psychol. 2001;52:141-66
pubmed: 11148302
J Pers Assess. 1984 Jun;48(3):306-7
pubmed: 16367530
J Pers Assess. 2012;94(4):418-26
pubmed: 22439655
Emotion. 2019 Apr;19(3):402-424
pubmed: 29888936

Auteurs

Patrícia Arriaga (P)

CIS-IUL, ISCTE-Instituto Universitário de Lisboa, 1649-026 Lisboa, Portugal.

Joana Alexandre (J)

CIS-IUL, ISCTE-Instituto Universitário de Lisboa, 1649-026 Lisboa, Portugal.

Octavian Postolache (O)

IT-IUL, ISCTE-Instituto Universitário de Lisboa, 1649-026 Lisboa, Portugal.

Manuel J Fonseca (MJ)

LASIGE, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal.

Thibault Langlois (T)

LASIGE, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal.

Teresa Chambel (T)

LASIGE, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal.

Classifications MeSH