Paper Info
Title
Quantifying Influence From Form Manipulation Of Artificial Facial Expression To Viewers
Abstract
Creating facial expressions manually needs to be enhanced through a set of easy operating rules, which involves adjectives and the manipulating combinations of facial design elements. This article tries to analyse viewers' cognition of artificial facial expressions in an objective and scientific way. We chose four adjectives - 'satisfied', 'sarcastic', 'disdainful', and 'nervous' - as the experimental subjects. The manipulative key factors of facial expressions (eyebrows, eyes, pupils, mouth and head rotation) were used to create permutations and combinations and to make 81 stimuli of different facial expressions with a 3-D face model in order to conduct a survey. Next, we used Quantification Theory Type I to find the best combinations that participants agreed on as representing these adjectives. The conclusions of this research are that: (1) there are differences in adopting facial features between creating artificial characters' expressions and recognising real humans' expressions; (2) using survey and statistics can scientifically analyse viewers' cognition of facial expressions with form changing; and (3) the results of this research can promote designers' efficiency in working with subtler facial expressions.
Year
DOI
Venue
2014
10.1080/14626268.2014.882847
DIGITAL CREATIVITY
Keywords
Field
DocType
form manipulation, facial expression, Quantification Theory Type I, animation
Design elements and principles,Facial Action Coding System,Expression (mathematics),Computer science,Permutation,Human–computer interaction,Facial expression,Animation,Cognition,Multimedia
Journal
Volume
Issue
ISSN
25
4
1462-6268
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Shyue-Ran Li100.34
Yi-Chen Chen200.34
Kuo-Hsiang Chen319629.46
Chun-Heng Ho4134.62