GenAI應用於UI/UX
GenAI的UI/UX
- A Designer’s Guide to UI/UX Patterns for AI Products
- Series 1 — Graphical Representation of AI Features
- Colors /Gradient
- Shapes
- Microcopy
- Series 2 — Is your AI a Guide, Companion, or Driver?
- The Guide: AI as a receptionist, helping users familiarize themselves and accelerate their onboarding experience.
- The Companion: AI as an imaginary friend that accompanies users throughout the product journey (users can still perform tasks without relying on AI).
- The Driver: AI at the center stage. Users engage with AI to perform tasks from start to finish within the product journey. (It’s like attending a party hosted by AI — without AI, users are essentially leaving the party.)
- Food for Thoughts: How AI-powered experiences could improve Web Accessibility and Inclusive Design (e.g., supporting users with visual impairments through enhanced screen reader interactions).
- Series 3—Navigating View-Specific and External Contexts
- View-Specific Context based AI
- Cross-View Context based AI
- External Context (Out-of-Product) Context-Based AI
- Series 4— Crafting AI Response Outputs: Types and Design Considerations
- AI Integration Type- Native & Hosted: Whether AI engine has the access to the native feature of products
- Action on Products: Performing tasks user requests and create product-specific deliverables
- Answers : Direct answers to the querys asked by users
- Supplimantary outputs : Various supporting material in addition to primary answers or other outputs to enhance experience and manage frustration.
- Series 5— Navigating the Line Between Search, Prompts, and Chatbots
- Chatbot: “Get the Job Done” as Efficiently as Possible
- Search: “I Will Decide What to Take, Gather the Information Relevant”
- Prompt: “Read Between the Lines, Not Just the Words”
- Series 6-Handling User Frustration with AI Responses
- Exploring the major frustrations with AI-powered products, analyzing their root causes, and proposing solutions for UX issues:
- Setting Wrong Expectations
- Lack of Specificity and Visibility
- All or Nothing Approach
- Series 7- Managing Context Continuity
- Generative AI UX — Developing Innovative Use Cases for the Enterprise
- 4 Human-AI Interaction Patterns for Experienced ChatGPT Users
- Flipped Interaction Strategy
- Collaborative Task Definition and Context Enhancement
- AI Interactions Based on Human Roles
- Quality Criteria and Assessments as a Result of Collaborative Work
- The application of generative AI chatbots can be significantly expanded by viewing them not just as executors of clearly defined tasks but also in various other roles:
- As a coach, buddy, mentor, or teacher — if questions themselves are important.
- As a conversational partner who helps you articulate a task — if you are not yet clear about the task, if you have limited knowledge on the topic, or if you are procrastinating due to the “blank page problem”.
- As a subordinate who brings you ideas, plans, and interim results for approval.
As a co-author, with whom you work on equal footing and achieve quality outcome through a small number of iterations using corrected parts as templates for the next parts.
- As an assessor who assists you in defining your quality criteria and evaluating outcomes based on these criteria.
- Generative Design: AI-Driven UX Paradigm Shift
- Things to consider about Generative design:
- Personalized UI: tailored to your unique personality
- Contextualized UI: appropriate for each situation
- Unlimited layouts: enabling flexible responses
- Cross-app scenarios: enabling complex tasks and reducing the overhead of switching from app to app for given tasks
- The role of UX in AI-driven healthcare
- Treating AI Agents as personas
- Introducing the Agent Computer Interaction era.
- Forget chatbots: Unique ways to AI-ify your product (Friend Link)
- Beyond the bot: redefining chatbot design in the age of AI
- Personalizing UX for Agentic AI (Friend Link)