使用混合现实技术开发动画角色设计实用技能的数字绘画学习模型

IF 2.3 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Vipusit Piankarnka, Kridsanapong Lertbumroongchai, Pallop Piriyasurawong
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引用次数: 0

摘要

本研究旨在(1)利用混合现实技术综合数字绘画学习过程,培养动画角色设计的实用技能;(2)利用混合现实技术开发和评估数字绘画学习模型,培养动画角色设计的实用技能。本研究通过查阅文献资料和相关研究,利用混合现实技术设计数字绘画学习模型,培养动画人物设计的实用技能。通过问卷调查,共有9位专家对模型的适用性进行了评估。研究中使用的统计数据是均值和标准差。研究发现,数字绘画学习过程的一个组成部分涉及使用混合现实技术来开发动画角色设计的实用技能。它由以下四个部分组成:(1)输入数据,(2)数字绘画学习过程,(3)输出评估,(4)反馈。专家对模型适用性的评估发现,使用混合现实技术培养动画角色设计实用技能的数字绘画学习模型处于最高水平(平均值±SD = 4.38±0.21)。这项研究对教授动画角色设计和开发的教师是有益的。研究结果可应用于教与学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Digital Painting Learning Model Using Mixed-Reality Technology to Develop Practical Skills in Character Design for Animation
This research aims to (1) synthesize the digital painting learning process by using mixed-reality technology to develop practical skills in character design for animation and (2) develop and evaluate digital painting learning models using mixed-reality technology to develop practical skills in character design for animation. This research was conducted by studying documentation and related research and designing digital painting learning models using mixed-reality technology to develop practical skills in character design for animation. Using a questionnaire, a total of 9 experts evaluated the model’s suitability. The statistics used in the research were the mean and standard deviation. The study found that a component of the digital painting learning process involves using mixed-reality technology to develop practical skills in character design for animation. It consists of the following four components: (1) input data, (2) the digital painting learning process, (3) output assessment, and (4) feedback. The expert’s evaluation of the model’s suitability found that the digital painting learning model using mixed-reality technology to develop practical skills in character design for animation was at the highest level (mean ± SD = 4.38 ± 0.21). This research is beneficial to faculty who teach character design and development for animation. The results of the study can be applied to teaching and learning.
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来源期刊
Advances in Human-Computer Interaction
Advances in Human-Computer Interaction COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
6.30
自引率
3.40%
发文量
22
审稿时长
36 weeks
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