# State Of Mind

## Introduction

The **State of Mind** section provides a visual representation of your AI character’s current emotional state. This dynamic emotional map helps you understand how your character is responding internally during a conversation, allowing for fine-tuning of its personality and interaction style.

<figure><img src="/files/xlY147VTPZP5REThPcpm" alt=""><figcaption></figcaption></figure>

***

## How It Works

* The State of Mind interface displays a **color-coded emotion wheel**.
* Each segment represents a specific emotion such as **Joy, Anger, Trust, Fear, Surprise, Sadness, Disgust,** and **Anticipation**, along with nuanced variations like **Serenity, Rage, Admiration,** and **Amazement**.
* **Active emotions** — those the character is currently experiencing — are highlighted more brightly on the graph.
* Emotions change dynamically based on the context, tone, and content of the conversation.

<figure><img src="/files/OzbHiO1r0Mb8XzBdfOaj" alt=""><figcaption></figcaption></figure>

***

## Practical Use Cases

* **Character Testing:** Observe real-time emotional responses to verify that the character reacts as intended.
* **Personality Tuning:** Adjust personality traits in the **Personality Traits** section and see how they influence emotional patterns.
* **Storytelling & Roleplay:** Ensure emotional consistency in interactive narratives.

***

## Conclusion

The State of Mind feature offers valuable insights into your AI character’s emotional behavior. By monitoring these live emotional changes, you can ensure your character responds in a way that aligns with its designed personality and intended use case.


---

# Agent Instructions: 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/convai-playground/character-customization/state-of-mind.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.