Token builder
May 26, 2024

Spatial Prompting

Spatial prompting integrates spatial relationships into prompts, offering a novel approach to manipulate concepts. This dynamic approach can lead to more intuitive and creative outcomes.

A web of tags around a text that says 'generating...' A curser hovers over one of the tags as if it is dragging it closer to or further from the middle.
Human needs

When using spatial prompting, I want to manipulate concepts through spatial relationships, so I can experiment and refine ideas more freely.

Considerations
  • Facilitating Flexible Thinking with Spatial Relations: Spatial relations facilitate playful and flexible thinking, enabling users to experiment and refine ideas more freely.
  • Immediate Feedback and Control: The ability to quickly update outputs allows for immediate feedback and more control.
  • Modality Considerations: Modalities like images and sound, are easily grasped but text will take more time so might be less suitable for such an interface
Explore Further
No items found.

More of the Witlist

Witlist
May 2024
Proactive agents

Proactive agents can autonomously initiate conversations and actions based on previous interactions and context providing timely and relevant assistance.

Perplexiity
May 2024
Follow-up on an answer

Letting people select text to ask follow-up questions provides immediate, context-specific information, enhancing AI interaction and exploration.

Witlist
Jun 2024
Semantic ranking

Embedding models can rank content along virtually any dimension. This capability provides significant value by enabling users to explore and analyze the embeddings to create a spectrum of any features.

Witlist
Jun 2024
Describe processes

AI actions often take time to complete. To improve user experience, use descriptions of what is happening combined with basic animations that represent different types of actions.

Aug 2024
Quick or detailed feedback

Empower users to make decisions and give feedback quickly or engage more deeply when needed in natural language.

Witlist
Jun 2024
Semantic highlights

Embedding models can rank data based on semantic meaning, evaluating each individual segment on a spectrum to show its relevance throughout the artifact.