> For the complete documentation index, see [llms.txt](https://docs.convai.com/api-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.convai.com/api-docs/zh/cha-jian-yu-ji-cheng/unity-plugin/tutorials/narrative-design.md).

# 叙事设计 | Unity

本 Unity 教程将向你展示如何为你的 3D 虚拟环境添加一个由 Convai 驱动的导游角色。Convai 的叙事设计功能允许创作者在 3D 环境中添加空间锚点，引导 3D AI 角色在遵循分步指令的同时在世界中导航。该角色会将指令提示与空间锚点结合起来，并以情境化的开放式方式与用户对话。这为从新手引导、导游、陪伴型角色、导师角色到更多应用场景提供了整套用例。快来看看这个演示和教程，了解如何在 Unity 中构建它。我们还会随教程一起发布示例项目源代码，帮助你快速上手。

***

{% embed url="<https://youtu.be/wmhoNXUhc1U>" %}
叙事设计导游教程
{% endembed %}

下载免费的示例项目文件：

{% embed url="<https://drive.google.com/file/d/1ddaxaRmdh_BTwO41KkipqwtD18Q11kYX/view?usp=drivesdk>" %}

***

Unity Asset Store 插件链接：

{% embed url="<https://assetstore.unity.com/packages/tools/behavior-ai/npc-ai-engine-dialog-actions-voice-and-lipsync-convai-235621>" %}

***

角色详情

姓名：Christina Smith\
ID：84434252-3776-11ef-a746-42010a7be00e

***

### 帮助资源与参考资料

叙事设计演练：

{% embed url="<https://www.youtube.com/playlist?list=PLn_7tCx0Chip2mfSbOkqJLevEbm3jDuNV>" %}

Unity 工厂场景 HDRP：

{% embed url="<https://assetstore.unity.com/packages/3d/environments/industrial/unity-factory-276400>" %}

注册于 [Convai](https://convai.com/) 开始使用。对于任何问题或错误报告，请访问 [Convai 开发者论坛](https://forum.convai.com/) ，我们的社区和支持团队将很乐意为你提供帮助。


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.convai.com/api-docs/zh/cha-jian-yu-ji-cheng/unity-plugin/tutorials/narrative-design.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.