Ui Ux Design For Agentic Ai Enhancing Human Ai Interaction
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UI/UX Design for Agentic AI: Enhancing Human-AI Interaction
This book explores the evolving landscape of user interface (UI) and user experience (UX) design for agentic AI—intelligent systems that act with autonomy, intentionality, and goal-directed behavior. It emphasizes designing for collaboration rather than command, aiming to align machine agency with human values, goals, and cognitive needs. The first section establishes foundational concepts, tracing the shift from reactive to proactive systems and introducing principles of human-centered AI design. Topics such as trust, transparency, cognitive load, and ethical considerations frame the core challenges of agentic interaction. In the second section, the focus shifts to design mechanics: patterns for mixed-initiative interfaces, handling interruptions, enabling goal delegation, and building continuous feedback loops. UX is presented not as a visual layer but as a structural medium for aligning intent and understanding between humans and machines. The third section provides practical applications, showcasing how agentic AI supports productivity, adapts in smart environments, and transforms education and healthcare interfaces. It covers architecture design, UI components like intent selectors, and evaluation frameworks to assess effectiveness. Finally, the book addresses future-facing issues—multi-agent systems, emergent behavior, and AI-human partnerships. It emphasizes the role of designers in shaping AI ethics, supporting cultural adaptability, and designing systems that are transparent, collaborative, and inclusive. Through detailed chapters, the book offers designers, technologists, and product leaders a blueprint for crafting agentic AI experiences that are usable, trustworthy, and genuinely supportive of human potential.
The Art of AI Product Development
Author: Janna Lipenkova
language: en
Publisher: Simon and Schuster
Release Date: 2025-06-24
A hands-on guide for delivering value with AI-driven products! Learn how AI can improve content creation, accelerate data analysis, and upgrade process automation. The Art of AI Product Development offers a clear, practical approach to creating products that use AI. It provides real-world guidance on defining your AI strategy, developing useful AI features, and supporting user trust and adoption. Rather than chasing trends, the book focuses on core principles and long-term thinking—foundations that remain relevant as the field evolves. Inside The Art of AI Product Development, you will learn vital skills for the effective use of AI, including: • Identifying market and business opportunities for AI • Gaining an in-depth understanding of modern AI approaches, incl. predictive AI, LLMs, Retrieval-Augmented Generation, and agent systems • Assembling AI solutions that work, without the hype • Efficiently communicating with data scientists and ML engineers • Designing user-friendly AI interfaces that emphasize trust and transparency • Implementing safe, ethical AI with proper governance processes The Art of AI Product Development is written for product managers, tech executives, UX designers, and anyone responsible for the success of an AI-driven product. It introduces a broad spectrum of AI opportunities and case studies from different domains such as marketing, supply chain, and logistics. You’ll carefully progress from initial design conversations, through to efficient and secure development, and on to deployment and day-to-day management of AI-driven applications. About the technology Integrating AI into your software and processes can create real value for your business and its customers—if you do it right. When you’re on the hook for delivering AI-enabled products, you’ll need to spot high-impact opportunities, work effectively with engineers, design user-centric features, avoid common project failures, and manage real-world launches. This book shows you how. About the book The Art of AI Product Development gives you a clear framework, practical tools, and real-world examples to build confidence and succeed with new AI projects—even if you’re tackling AI for the first time. You’ll love the practical use cases and end-to-end scenarios from domains such as marketing, supply chain management, and sustainability. What's inside • Ideate, shape, and prioritize AI opportunities • Develop AI systems with techniques such as prompt engineering, RAG, and predictive AI • Communicate with different AI stakeholders and promote AI adoption About the reader Written for software product managers, business-oriented engineers, UX designers, startup founders, and anyone responsible for developing, designing, or marketing AI products. No experience with AI required. About the author Dr. Janna Lipenkova is the founder of an AI and analytics business where she has successfully managed AI projects for world-class companies like BMW, Lufthansa, and Volkswagen. Table of Contents Part 1 1 Creating value with AI-driven products 2 Discovering and prioritizing AI opportunities 3 Mapping the AI solution space Part 2 4 Predictive AI 5 Exploring and evaluating language models 6 Prompt engineering 7 Search and retrieval-augmented generation 8 Fine-tuning language models 9 Automating workflows with agentic AI Part 3 10 AI user experience: Designing for uncertainty 11 AI governance 12 Working with your stakeholders Appendix A AI development toolbox
Design, User Experience, and Usability
This six-volume set LNCS 15794-15799 constitutes the refereed proceedings of the 14th International Conference on Design, User Experience, and Usability, DUXU 2025, held as part of the 27th International Conference on Human-Computer Interaction, HCII 2025, in Gothenburg, Sweden, during June 22-27, 2025. The total of 1430 papers and 355 posters included in the HCII 2025 proceedings was carefully reviewed and selected from 7972 submissions. The six volumes cover the following topics: Part I: Information design and visualization; emotional interaction and persuasive design; and interactive systems and user behavior. Part II: UX design and evaluation methodologies; inclusive design and accessible experiences; and product and industrial design. Part III: Design and the digital transmission of culture; design for arts and creativity; and designing for health and therapeutic experiences. Part IV: Consumer experience and service design; design and evaluation of technology-enhanced learning; and UX in automotive and transportation. Part V: Design education and professional practice; and human-centered design and interactive experiences. Part VI: AI and the future of UX design; and UX in AI and emerging technologies.