Incentivize giving feedback
Presenting multiple outputs helps users explore and identify their preferences and provides valuable insights into their choices, even enabling user feedback for model improvement.
When generating outputs, I want multiple suggestions to explore and identify my preferences, so I can choose the best option.
- Personalized Outputs through Progressive Refinement: The process of making suggestions and progressively narrowing down options can lead to more personalized and satisfactory outputs.
- Ideal for Uncertain User Preferences: This approach is ideal for situations where users may not fully know what they want. Many tools that take a longer time to generate output provide at least two options to choose from. For example, Suno and Midjourney do this.
- User Preference Feedback: Allowing users to pick between multiple outputs informs the model which one is preferred.
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