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Perception of micro-expressions in animated characters with different visual stylesTianyu Hou (11812172) 20 December 2021 (has links)
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<p>The
purpose of this research was to examine the perception of micro-expressions in
animated characters with different visual styles. Specifically, the work
reported in this thesis sought to examine: (1) whether people can recognize
micro-expressions in animated characters, (2) whether there are differences in
recognition based on the character visual style (stylized versus realistic),
(3) the extent to which the degree of exaggeration of micro-expressions affect
the perceived naturalness and intensity of the animated characters’ emotion,
and (4) whether there are differences in effects on perceived naturalness and
intensity based on the character visual style. The research work involved two
experiments: a recognition study and an emotion rating study. A total of 275
participants participated in both experiments. In the recognition study, the
participants watched eight micro-expression animations representing four
different emotions (happy, sad, fear, surprised). Four animations featured a
stylized character and four a realistic character. For each animation, subjects
were asked to identify the character’s emotion conveyed by the
micro-expression. Results showed that all four emotions for both characters
were recognized with an acceptable degree of accuracy. The recognition rates of
the stylized character were 84.73% for happiness, 88.73% for sadness, 60.73%
for fear, and 83.64% surprise. The recognition rates of the realistic character
were 87.37% for happiness, 82.94% for
sadness, 69.62% for fear, and 77.13% for surprise. In the emotion rating
study, participants watched two sets of eight animation clips (16 clips in
total). Eight animations in each set featured the character performing both
macro- and micro-expressions, the different between these two sets was the exaggeration
degree of micro-expressions (normal vs exaggerated). Participants were asked to
recognize the character’s true emotion (conveyed by the micro-expressions) and rate
the naturalness and intensity of the character’s emotion in each clip using a
5-point Likert scale. Findings showed that the <b>degree of exaggeration of the
micro-expressions </b>had a significant effect on <b>emotion’s</b> <b>naturalness
rating</b>, <b>emotion’s</b> <b>intensity rating</b>, and <b>true emotion
recognition</b> and the <b>character visual style</b> had a significant effect
on emotion’s <b>intensity rating</b>. Emotion type, participant gender and
participant animation experience also had significant effects on perception of
the micro-expression.</p>
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