Researcher publishes new book on the UI/UX design process with Artificial Intelligence
UI/UX design and Artificial Intelligence are increasingly going hand in hand for anyone building digital products. The combination of these two fields is no longer a future trend — it is the reality for product teams, startups, and large companies that need to deliver smarter, more personalized, and more accessible experiences to users.
But the truth is there is still a huge gap between people who understand interface design and those who master the technical side of AI. Designers know how to create beautiful and functional flows, but they often feel lost when it comes to understanding how a recommendation model works, how to train a system that learns from user behavior, or how to integrate Augmented Reality features into an interface in a coherent way. On the flip side, engineers and data scientists do not always manage to translate what they build into experiences that actually make sense for people.
That is exactly where a new release that is getting attention in both academic circles and the tech industry comes in. Researcher Pradipta Biswas, an associate professor at the Indian Institute of Science and a Gates Cambridge Scholar from the class of 2006, has just published the book Intelligent User Interface: Usable Artificial Intelligence and Artificial Intelligence for Usability through the renowned publisher Taylor & Francis. The goal is pretty straightforward: explain the most recent developments in intelligent interfaces in a way that any designer, student, or product manager can understand and apply in their day-to-day work, without needing a heavy technical background to do so.
The book brings together in one place topics like machine learning models, human-robot interaction, Augmented and Virtual Reality systems, Large Language Models, computer vision, human factors, and usability evaluation techniques — all with a focus on practical application. The goal is clear: democratize access to knowledge about AI applied to interfaces so that more professionals can actually use this knowledge in their projects. 🚀
What makes this book different from the rest
There is a massive number of books about Artificial Intelligence on the market, but most of them were written for engineers or researchers. They are dense works, packed with mathematical formulas and concepts that require a solid technical background to absorb. What Pradipta Biswas did differently was build a bridge between these two worlds — technology and design — without giving up academic rigor, but also without making the reading inaccessible to people who are just getting into this space.
The book always approaches things from the user perspective. Instead of starting by explaining how an algorithm works under the hood, the author first presents the human problem that a given technology was created to solve. This completely changes how the reader absorbs the content, because the context is already established before any technical detail enters the picture. For UI/UX design professionals, this logic feels very familiar — after all, user-centered design starts exactly this way: identifying real needs before thinking about solutions.
Another thing that really sets Biswas work apart is the coverage of topics that rarely appear together in a single publication. The combination of machine learning models with human-computer interaction concepts within the same volume would already be enough to justify reading it, but the book goes further by also bringing discussions about Large Language Models — the same models behind tools like ChatGPT — applied directly to the context of interface design. This is incredibly relevant for anyone who wants to understand what is happening right now in the tech industry and how to prepare for what comes next. 📚
Case studies and real-world applications
One of the biggest strengths of the book is the inclusion of case studies that show how these technologies are being applied in real-world scenarios. Pradipta Biswas did not just stick to theory. He brought concrete examples of intelligent interface development for XR systems — which encompass Virtual Reality, Augmented Reality, and Mixed Reality —, human-robot interaction, aircraft cockpit design, and trajectory prediction.
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For those unfamiliar with the term, trajectory prediction is the process of forecasting the future positions of moving agents, such as vehicles or pedestrians, over time. This technology is essential for autonomous cars, for example, since the system needs to anticipate surrounding movements to ensure safe navigation. Bringing this topic into a book about UI/UX design shows how much the field has expanded and how interface professionals need to stay informed about contexts that go far beyond mobile screens.
XR systems, in turn, are digital platforms and technologies that allow users to experience and interact with Virtual, Augmented, and Mixed Reality environments through advanced devices like headsets and smart glasses. The way interfaces are designed for these devices requires a deep understanding of both spatial design and how AI can help make these experiences more natural and responsive.
Another highlight includes examples of LLM-based human-robot interfaces and Virtual Reality spacecraft simulation systems. These cases show that interface design is moving beyond being something limited to mobile apps and websites to become a discipline that directly impacts areas like aviation, space exploration, and robotics. 🤖
Practical resources for study and implementation
Beyond the case studies and conceptual explanations, the book offers a series of practical resources that make learning considerably easier. Each chapter includes graphic illustrations and a list of quick facts for reviewing and memorizing fundamental concepts. This is especially useful for anyone studying the material for the first time or who needs a quick reference during work.
The book also provides a list of free downloadable software related to the topics covered. For students and professionals who want to get hands-on without investing in expensive tools, this is a huge differentiator. It is the kind of resource that turns a theoretical book into a true working toolkit.
For those in academic settings, the book goes even further by suggesting ideas for new projects on intelligent interfaces that can be explored by students and early-career researchers. This approach shows that Biswas was thinking not only about people who want to consume knowledge, but also about those who want to produce research and innovation in the field. It is an invitation for more people to enter this space and contribute new solutions.
The book also discusses the latest standards and guidelines related to UI/UX design, including guidance on layout and the equipment needed to set up an intelligent interaction design lab involving robots, drones, and XR systems. For universities and research centers building out their infrastructure, this kind of practical information is worth its weight in gold. 🛠️
AI and interface design: why this conversation is urgent
Artificial Intelligence is already present in virtually every digital product we use today, often in invisible ways. The recommendation systems that suggest the next video, the voice assistants that respond to our commands, the smart filters that organize our email — all of this is the result of machine learning models running in the background. The challenge for those working in UI/UX design is understanding enough about how these systems work to design interfaces that get the most out of them, without losing sight of the user experience.
Human-computer interaction has evolved dramatically over the past few decades, moving from keyboards and mice to touch interfaces, voice recognition, and now to systems that anticipate user intentions before they even do anything. This level of sophistication requires designers and developers to think together about the implications of every interface decision. An AI-powered feature that works well technically can be completely frustrating from the user perspective if it is not presented in a transparent and understandable way. Biswas book addresses exactly this kind of tension, showing how to balance automated intelligence with control and clarity for the end user.
Technologies like vision transformers — an AI architecture used for computer vision tasks — are also discussed in the book. These models are being used in everything from facial recognition to environment analysis in Augmented Reality, and understanding their fundamentals helps designers make more informed decisions about how to structure visual interactions in their products.
Augmented Reality is another important chapter in this conversation. With devices like smart glasses and apps that overlay digital information onto the physical world gaining more and more traction, the way interfaces are designed in the coming years will change dramatically. Integrating AI into Augmented Reality experiences is one of the biggest technical and creative challenges of our time, and understanding the fundamentals of how these systems connect is essential for any professional who wants to stay relevant in this market. 🔍
Who is Pradipta Biswas
To understand the depth of the book, it is worth knowing the author trajectory. Pradipta Biswas is an associate professor in the Department of Design and Manufacturing and an associate professor at the Robert Bosch Centre for Cyber Physical Systems at the Indian Institute of Science, one of the most prestigious research institutions in India.
His academic background includes a PhD in Computer Science from the University of Cambridge, where he was a Gates Cambridge Scholar. During his time at Cambridge, Pradipta explored topics like visual and auditory perception, rapid aiming movements, and problem-solving strategies in the context of human-computer interaction. He also invented new algorithms, including applications in eye-tracking technology. Among the technologies he patented is an interactive Head Up Display controlled by gaze and gestures.
His international involvement is equally impressive. Biswas was elected vice-chair of Study Group 9 of the International Telecommunication Union (ITU) and co-chaired the Intersector Rapporteur Group on Audiovisual Media Accessibility and the Focus Group on Smart TV within the same organization. These positions place the author at the center of global discussions about accessibility standards and interaction in media technologies.
After returning to India, Pradipta continued expanding his work in eye tracking, collaborating with the Indian Air Force. He also led a project to create a Virtual Reality cockpit for India first crewed space mission and was one of five Indian researchers selected to conduct studies on human-computer interaction at the International Space Station during the Axiom 4 mission. Additionally, he led the first toy hackathon of its kind in India, with the goal of helping children with severe disabilities communicate through gaze-controlled interfaces. This track record shows the author is not just a theorist — he is someone who takes interface design to the most extreme and challenging contexts that exist. 🌍
Who this book was written for
Biswas proposal is broad enough to serve very different audiences. Students of design, computer science, software engineering, and related fields will find in the book a solid foundation for understanding how Artificial Intelligence applies to interface design, with practical examples that help connect theory and practice much more directly than what typically happens in a classroom. For beginners, it is a far more accessible entry point than most of the materials available on the subject.
Professionals already working in the field — whether as product designers, product managers, UX researchers, or front-end developers — also have a lot to gain from reading it. The daily grind of working on digital products rarely offers the space to dive deep into the fundamentals of technologies like machine learning models or Large Language Models, and the book delivers exactly that kind of foundation in a compact and actionable format. It is the kind of book you read and can use what you learned the very next week, in real project decisions.
The stated target audience also includes interface designers and product managers who want to understand the latest developments in AI and Machine Learning without needing to dive into excessive theoretical detail, so they can use that information directly in the development of their projects and products.
Researchers and academics working at the intersection of UI/UX design and Artificial Intelligence will also find in Biswas work a valuable reference, especially because of the seriousness with which the author treats each topic without sacrificing the accessibility of the text. Publisher Taylor & Francis is known precisely for releasing works that combine scientific rigor with practical relevance, and this release follows that tradition consistently.
The impact on the tech industry
We are living in a moment when generative Artificial Intelligence is rapidly transforming the way digital products are conceived and built. LLM-based tools are being integrated into code editors, design platforms, and customer service systems at an impressive pace. In this landscape, professionals who can move between the technical knowledge of AI and the sensitivity of user experience design become extremely valuable.
Biswas book arrives at the perfect time to meet this demand. By covering everything from human factors and computer vision concepts to practical applications with LLMs and XR systems, the book offers a comprehensive and up-to-date overview that is hard to find gathered in a single publication. For the tech industry at large, where AI adoption is accelerating rapidly, having access to this kind of material is a real competitive advantage.
At the end of the day, this book arrived at a moment when the market really needed something like it: an honest, straightforward, and well-grounded guide on how AI and interface design truly connect. For anyone working or looking to work at the intersection of technology and user experience, this is a read that is well worth keeping close by. 💡
