The Relationship Between the Pose of Virtual Character and Virtual Character’s Personality: The Animation Software Preset Posture

Chun Yang Su, Chun Heng Ho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the psychologic area, the researchers discovered that the realisticness of a character can be improved by the posture, facial expression, and voice. Since the posture of a virtual character is a key element for animation when a dramatic story is being produced, this research focuses on the effect of different virtual character postures. This research uses the big five model, the BFI-44 questionnaire, for participants to evaluate the personality of five virtual character postures. These five postures were built based on common preset postures from major 3D model software. The experimental results evidenced that a participant’s view of the personality of the virtual character is affected by the whole body posture. There were significant differences among postures in terms of openness, extroversion, and neuroticism traits, but these were not the case for postures suggesting conscientiousness and agreeableness traits. Thus, the virtual character design could be improved by crafting the personality of the character through different postures as suggested in this paper.

Original languageEnglish
Title of host publicationDesign for Tomorrow - Proceedings of ICoRD 2021
EditorsAmaresh Chakrabarti, Ravi Poovaiah, Prasad Bokil, Vivek Kant
PublisherSpringer Science and Business Media Deutschland GmbH
Pages303-311
Number of pages9
ISBN (Print)9789811600401
DOIs
Publication statusPublished - 2021
Event8th International Conference on Research into Design, ICoRD 2021 - Virtual, Online
Duration: 2021 Jan 72021 Jan 10

Publication series

NameSmart Innovation, Systems and Technologies
Volume221
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference8th International Conference on Research into Design, ICoRD 2021
CityVirtual, Online
Period21-01-0721-01-10

All Science Journal Classification (ASJC) codes

  • General Decision Sciences
  • General Computer Science

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