> 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/convai-unreal-engine-plugin/features/emotion.md). # 情绪查找让 Convai 角色表达与对话同步的指南——从快速 Blueprint 设置到完整参考和故障排查。情绪系统使 Convai 角色在对话时能够通过面部动画表达情感。Convai 会分析角色生成的语音，并在音频之外提供一个情绪状态。该插件将该状态公开为按情绪划分的浮点分数，你可以在 Blueprint 中读取，使用 `获取情绪分数` 并以适合你项目的任何方式应用到变形目标或 Animation Blueprint 变量上。


情绪系统如何工作了解 Convai 如何提供情绪状态、服务器缩放如何映射为分数，以及偏移和锁定控件的作用。	情绪系统的工作原理
情绪快速入门订阅情绪状态变化，并通过几个 Blueprint 步骤将各情绪分数应用到角色网格上的变形目标。	情绪快速入门
情绪蓝图参考 Convai Chatbot 组件中受支持的、由分数驱动的情绪属性、函数以及状态变更事件。	情绪 Blueprint 参考
情绪示例强制触发一种情绪，锁定表情状态，并读取分数以驱动游戏玩法效果或视觉反馈。	情绪示例
排查情绪问题修复情绪不显示、状态卡在锁定模式，以及角色网格上的变形目标不匹配问题。	排查情绪问题

### 从这里开始先从 [情绪系统如何工作](/api-docs/zh/cha-jian-yu-ji-cheng/convai-unreal-engine-plugin/features/emotion/how-the-emotion-system-works.md) 以了解评分模型和控件。然后按照 [情绪快速入门](/api-docs/zh/cha-jian-yu-ji-cheng/convai-unreal-engine-plugin/features/emotion/emotion-quick-start.md) 在进入参考和高级示例之前，通过几个 Blueprint 步骤将表情分数连接到角色网格。 --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.convai.com/api-docs/zh/cha-jian-yu-ji-cheng/convai-unreal-engine-plugin/features/emotion.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.