想象个性:使用动作捕捉,可穿戴传感器和实时编码来增强数字角色工作流程
Dimitris Baltas1, Anthie Kolokotroni1, Katerina Malisova1
1Department of Product and Systems Design, University of the Aegean, 841 00 Syros, Greece.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
新兴的传感器技术在跨媒体项目中增强了数字角色个性表达. 运动和互动是关键,与上下文和观众一起,创造共的数字字符.
科学领域:
- 数字字符设计数字字符设计.
- 人与计算机的互动.
- 媒体研究 媒体研究
背景情况:
- 传统的数字字符依赖于运动来表达特征.
- 新兴的传感器技术为动态字符设计提供了新的途径.
- 集成的移动捕捉,生物传感器,和现场编码使得体现字符的表达.
研究的目的:
- 检查基于传感器的技术如何在媒体上的数字角色中增强人格表达.
- 探索个性轮模型在传感器介导的角色设计中的应用.
- 开发和评估有表现力的数字字符的原型.
主要方法:
- 使用传感器技术开发了四个原型 (动画,游戏,交互性表演,网络环境).
- 应用了个性轮模型 (角色结构,动作动作,互动,环境).
- 通过问卷和采访对14名参与者进行了用户评估.
主要成果:
- 运动和互动是感知人格最有影响力的线索.
- 环境因素对不同媒体类型的影响有所不同.
- 叙述和观众的个性也影响了角色的感知.
结论:
- 数字角色的个性是从多式联络线索和环境中产生出来的.
- 传感器技术为设计有表现力和情感共的角色提供了新的方法.
- 结果为跨媒体角色设计和开发提供了洞察力.
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