User feedback

Evaluate predictions

When an observation is added to the context from an implicit action and a prediction is made, users should be able to easily evaluate and dismiss it.

An image showing a section of a user interface with a dark-themed background and purple dialogue boxes containing different suggestions or prompts. The background features a game or media title "Thunderstrike: Echoes of the Storm" with lightning and storm imagery. The suggestions include "Done browsing?", "Invite whole team?", "Organize tabs?", "Getting sleepy?", and "Not in the mood for Rock?". Below these prompts, a media control interface is visible with icons for infinity loop, skip back, play/pause, and favorite.
Human needs

When an observation is added to the context of the AI system or a conclusion is reached, I want to evaluate and dismiss it easily, so I can ensure the information is accurate and relevant to my needs.

Considerations
  • Transparency in Knowledge Gathering: Make it easy for users to understand the factors that influence and shape the knowledge being gathered. When new information is added to the context, clearly communicate this to the user.
  • Control over Assumptions: Provide a simple way for users to dismiss or challenge assumptions to ensure the accuracy and reliability of the knowledge base.
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