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馃榾 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:
Meta Object: A structured JSON defining input types (options, range sliders, etc.) and data necessary for their rendering.
Input Handler Module: A flexible component that reads the meta object and dynamically switches the user input method accordingly.
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:
The text was updated successfully, but these errors were encountered:
What would you like to see?
馃榾 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:
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:
Implementation Approach:
options list
.Before:
After:
The text was updated successfully, but these errors were encountered: