1,073
Views
3
CrossRef citations to date
0
Altmetric
Research Article

Parasocial interactions and digital characters: the changing landscape of cinema and viewer/character relationships

ORCID Icon, &
Pages 15-25 | Published online: 11 Dec 2019
 

ABSTRACT

This study investigates whether parasocial interactions (PSIs) vary in strength depending on whether a character is created entirely through computer-generated imagery (CG), a hybrid character enhanced by CGI, or real, portrayed by a real human actor. One-hundred and forty-four participants watched a randomly selected film narrative from the three conditions, and strength of PSIs was measured. Results indicate that PSIs formed with hybrid CGI characters are just as strong as those formed with non-CGI characters. Audience members formed stronger PSIs with both natural and hybrid characters than they did with all-CGI characters. This finding suggests that movie viewers relate to characters enhanced by CGI just as effectively as they relate to entirely human characters. All-CGI characters may not be as relatable, but this may be due to the types of characters, typically non-humans, that are usually created entirely with CGI rather than failings of the technology itself.

Disclosure statement

No potential conflict of interest was reported by the authors.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 138.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.