语音:用于交互,对话和解释的视觉语音
IEEE transactions on visualization and computer graphics
|June 16, 2025
概括
我们开发了VOICE,这是一个使用对话式AI和交互式可视化的新型科学沟通工具. 该框架通过自然语言交互和实时3D模型操纵来增强用户对复杂数据的理解.
科学领域:
- 计算机科学 计算机科学
- 科学可视化科学可视化
- 人与计算机的交互
背景情况:
- 有效的科学沟通对于数据解释至关重要.
- 现有的可视化工具往往缺乏直观的交互方法.
- 大型语言模型 (LLM) 提供先进的对话能力.
研究的目的:
- 推出VOICE,这是一个新的框架,将LLMs与科学传播的交互式探索可视化集成在一起.
- 解决对科学数据分析更直观,更有吸引力的方法的需求.
- 为了提高用户对复杂的3D科学模型的理解.
主要方法:
- 开发了一种用于任务分配,指令提取和内容生成的双层代理架构.
- 利用微调和提示工程来优化代理性能.
- 实现了一种交互式文本到可视化方法,通过语音命令实现实时3D模型导航和操纵.
主要成果:
- 展示了一种应用到分子可视化的概念验证原型.
- 成功分析了具有多尺度和多实例属性的3D分子模型.
- 在语音命令响应和视觉表示中实现了低延迟和高精度.
结论:
- VOICE框架有效地满足了科学传播的设计要求.
- 该系统满足用户在分析复杂科学数据方面的各种需求.
- 声音代表了对科学探索的对话可视化的重大进步.
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