#96 Advanced UX Patterns for AI Products – Part 2
Future of UX | Your Design, Tech and User Experience Podcast | AI Design
Deep Dive
What is the purpose of the token layering pattern in AI UX design?
The token layering pattern allows users to construct prompts using specific keywords or tokens, guiding the AI to produce more accurate and tailored outputs. This method gives users greater control over the AI's output, making the creative process more interactive and personalized.
How does the variation pattern enhance user engagement in AI products?
The variation pattern presents users with multiple AI-generated options based on a single prompt, allowing them to choose the result that best fits their needs. This approach saves time and enhances user satisfaction by offering choices that align with their preferences.
Why are distinct color schemes important in AI UX design?
Distinct color schemes help users identify AI features and differentiate AI-generated content from human-generated content. This visual differentiation builds trust and transparency, ensuring users are aware of the AI's role in the interaction.
What role does Adobe Firefly play in demonstrating token layering?
Adobe Firefly, an image generation tool, allows users to input visual tokens representing specific concepts or styles. By layering these tokens, users can fine-tune their prompts, leading to more specific AI-generated images or designs.
What is the significance of the sparkle icon in AI products?
The sparkle icon is a common visual cue used to represent AI features. It helps users quickly identify AI-generated content, often paired with specific colors like purple, which are widely used across various AI tools.
How do AI UX patterns contribute to creating trustworthy interfaces?
AI UX patterns like token layering, variations, and color schemes enhance user engagement and transparency by providing greater control, multiple options, and visual cues that differentiate AI-generated content from human-generated content, thereby building trust.
What is the current status of AI UX patterns in design?
AI UX patterns are still a work in progress, with companies continuously exploring and refining how to best implement them. They serve as guidelines rather than strict rules, helping designers create more intuitive and trustworthy AI interfaces.
What resource is recommended for learning more about AI UX patterns?
The 'Shapes of AI' library by Emily Campbell is highly recommended for further exploration of AI UX patterns. It provides insights into how different companies are solving design problems related to AI interfaces.
- Token layering allows users to construct prompts using specific keywords or tokens, guiding the AI to produce more accurate outputs.
- Variations present users with multiple AI-generated options based on a single prompt, enhancing user satisfaction and providing choices.
- Color schemes help users identify AI features and content, building trust and transparency by visually differentiating AI-generated content from human-generated content.