What would you like to see?

😀 Open for suggestions on the feature's design, in terms of modularity, ease of scalability to expand on various input methods

Feature Suggestion: Dynamic Input Methods for Enhanced User Interaction

A dynamic input method feature, aimed at significantly improving user experience by enabling intuitive, immediate, and context-sensitive interactions. This feature leverages a JSON meta object embedded within the GPT response to instruct the front-end on rendering various input interfaces, such as options, suggestions, or sliders, instead of the traditional text input.

Key Components:

1. Meta Object: A structured JSON defining input types (options, range sliders, etc.) and data necessary for their rendering.
2. Input Handler Module: A flexible component that reads the meta object and dynamically switches the user input method accordingly.
3. Modularity and Scalability: Design the system with a library of standalone input method components and a schema for the meta object that supports future expansion.

Example JSON Meta Object:

{
"meta": {
"options": ["option1", "option2"],
// "suggestions": ["suggestion1", "suggestion2"],
"range": {
"min": 1,
"max": 10,
"step": 1
}
},
"settings": {
"type": "range",
"placeholder": "Select a value between 1 and 10"
}
}

Benefits:

• Enhances user engagement by offering a more interactive and guided conversation experience.
• Reduces reliance on text input, making interactions quicker and more intuitive.

Implementation Approach:

• Start with a prototype focusing on a core set of input methods. options list.
• Provide clear documentation for extending the feature with new input methods.

Before:

After: