Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/4563
Title: Familiarity and Overcoming of Uncanny Valley towards Computer-Generated Imagery Characters in Malaysian Film
Authors: Manaf, A. A. A. 
Ismail, F. 
Arshad, M. R. 
Lee, S. P. 
Keywords: humanoid reality;digital actors
Issue Date: 2022
Publisher: Institut Teknologi Bandung
Journal: Journal Visual of Art and Design (JVAD) 
Abstract: 
Recently, the idea of the uncanny valley has drawn interest in robotics and other scientific circles and popular culture. Several scholars have discussed its implications and reactions towards human-like robots. However, only several previous studies examined overcoming the uncanny valley for realistic looking computer-generated actors in films and animation. This seeks to examine the familiarity of participants with the use of digital characters as actors. This paper explains how computer-generated imagery (CGI) was used to create actors in Malaysian films, the uncanny valley characteristics that may affect the audience’s attention. The researcher has chosen visual stimuli consisting of 1 genuine human character and 1 less humanlike subject. A self-administered survey (n = 127) with sample film footage and photos were delivered online via email and social networks to responders. Surprisingly, based on the data, the human resemblance of the humanlike characters was substantially higher than expected. This research concluded that the artificial CGI characters had higher perceived eeriness if the character was highly familiar to the audience. As a result, the digital actor’s replacement an impression of eeriness and disbelief, which confirms the uncanny valley theory.
Description: 
Others
URI: http://hdl.handle.net/123456789/4563
DOI: 2337-5795
10.5614/j.vad.2022.14.2.12
Appears in Collections:Journal Indexed Era/Google Scholar and Others - FTKW

Files in This Item:
File Description SizeFormat
13765-Article Text-65907-1-10-20230116.pdf475.82 kBAdobe PDFView/Open
Show full item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.