New book on UI/UX Design and artificial intelligence breaks down complex advances into language product creators actually understand
UI/UX Design and artificial intelligence have been walking hand in hand for a while now, but quality material that explains this clearly for people who build digital products is still hard to come by. Most available content falls into two extremes: either way too technical for designers, or way too shallow for anyone who actually wants to apply it. That is exactly where a new book steps in to fill the gap with surgical precision.
Pradipta Biswas, a Gates Cambridge Scholar and Associate Professor in the Department of Design and Manufacturing at the Indian Institute of Science, has just released a work that translates the latest advances in AI and Machine Learning into the language of interface design — no PhD required to understand it. The book is called Intelligent User Interface: Usable Artificial Intelligence and Artificial Intelligence for Usability, published by Taylor and Francis, and it is already turning heads in the design and tech world. The timing could not be better. 🎯
We are living through a moment where practically every digital product is being rethought because of artificial intelligence. Voice assistants, recommendation systems, real-time personalization, interfaces that adapt to user behavior… all of this is already a reality, and designers who do not understand how these technologies work are going to fall behind. That is not an exaggeration — just look at the market. Biswas’s work arrives precisely to close this gap between what AI can do and what user interface design needs to deliver.
So what does the book actually cover?
The central goal of the book is to demystify the most recent developments in the UI/UX design process, making advanced AI and Machine Learning concepts accessible to the people who design interfaces. Biswas structures the content around a wide range of topics that connect human factors, computer vision, augmented and virtual reality systems, large language models, and usability evaluation techniques. Each of these concepts is covered in depth, but without sacrificing practical applicability. In other words, you read it, you understand it, and you can actually use it. That is rare in works that straddle computer science and design at the same time, because usually one side ends up getting shortchanged.
One of the major highlights of the book is the case studies on developing intelligent user interfaces for extended reality systems, known as XR. For anyone not familiar, XR systems are digital tools, platforms, and technologies that allow users to experience and interact with virtual, augmented, and mixed reality environments using advanced hardware like headsets and smart glasses. The book shows how AI powers design decisions in these immersive environments, something that will become increasingly relevant as these platforms scale up.
Another central topic covered in the book is trajectory prediction, which is the process of forecasting future positions of agents like vehicles or pedestrians over time. This technology is fundamental to autonomous driving, enabling systems to anticipate movements and ensure safe navigation. Biswas explores how intelligent interfaces connect to this type of application, showing that interaction design is not limited to smartphone screens but extends to critical scenarios where decisions need to happen in milliseconds.
Human-robot interaction and cockpit design
The book also dives into areas that might seem distant from the typical designer, but are getting closer to everyday technology all the time. Human-robot interaction is one of them. Biswas presents how LLM-based interfaces can be used to create more natural communication bridges between humans and robots — a field that is exploding with the growing adoption of autonomous assistants in industrial and service environments.
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Cockpit design is another use case that gets special attention. This is no coincidence. Pradipta has direct experience in this area, having led a project to create a virtual reality cockpit for India’s first crewed space mission. That hands-on experience shines through in the book, which does not stop at theory and brings concrete examples of how intelligent interfaces are designed for high-complexity, high-risk environments.
Beyond that, the book presents virtual reality-based spacecraft simulations and discusses how the latest AI systems, such as vision transformers, are being applied in interface design. This variety of scenarios shows that the field of intelligent interfaces is much broader than most people realize, and that the principles presented in the book can be adapted to completely different contexts.
Practical resources that make a real difference
One standout feature you notice right away is the author’s commitment to making the book genuinely useful for day-to-day work. Each chapter includes graphic illustrations and a list of quick facts for reviewing and memorizing core concepts. This makes it much easier for anyone who needs to reference the material during a project or wants to refresh a specific concept without rereading entire pages.
The book also offers a list of free, downloadable software related to the topics covered. This is gold for anyone who wants to get their hands dirty. Instead of just reading, readers can experiment with the tools and test concepts in practice, which dramatically speeds up the learning process. Very few technical books offer this kind of resource in such an organized way.
Another valuable addition is the collection of project ideas focused on intelligent user interfaces that can be explored by students and early-career researchers. This transforms the book into more than just a theoretical reference. It also works as a launchpad for anyone who wants to develop original work in the field — something that can be especially useful in graduate programs or product teams that are just starting to explore AI in their design workflows.
Standards and guidelines for setting up your own lab
One section of the book that deserves special attention is the discussion of the latest standards and guidelines relevant to UI/UX design and layout. Biswas does not stop at generic principles. He covers updated norms and recommendations that help professionals align their projects with the most modern international best practices.
On top of that, the book provides information about the equipment needed to set up an intelligent interaction design lab involving robots, drones, and XR systems. This kind of practical guidance is hard to find in a consolidated format, and it can be extremely useful for universities, research centers, and even companies investing in innovation that need a roadmap for structuring their testing and development environments.
Who is Pradipta Biswas
Understanding who wrote the book helps put the relevance of the work into perspective. Pradipta Biswas is not just an academic. He is a professional with a presence across multiple fronts that combine cutting-edge research with real-world application. In addition to being an Associate Professor at the Indian Institute of Science, he is an associate member of the Robert Bosch Centre for Cyber Physical Systems and was elected vice-chair of ITU Study Group 9, linked to the International Telecommunication Union.
Biswas also served as co-chair of the working group on audiovisual media accessibility and the focus group on Smart TV within the same organization. This involvement with international standards gives the author a broad, well-grounded perspective on how interface technologies are regulated and developed on a global scale.
During his PhD in Computer Science at Cambridge, Pradipta explored visual and auditory perception, rapid aiming movements, and problem-solving strategies in the context of human-machine interaction. He also invented new algorithms, including applications for eye-tracking technology. Among the technologies he patented is an interactive Head Up Display controlled by gaze and gestures, which shows just how focused his research is on concrete application.
From India to outer space
Since returning to India, Biswas has significantly expanded his work with eye-tracking technology, collaborating directly with the Indian Air Force. He led the previously mentioned virtual reality cockpit project for the country’s crewed space mission and was one of five researchers selected in India to conduct studies on human-machine interaction aboard the International Space Station during the Axiom 4 mission. This experience places Biswas in a very select group of researchers who have literally tested their concepts in space. 🚀
He also led a pioneering hackathon focused on adapted toys to help children with severe disabilities communicate through gaze-controlled interfaces. This kind of initiative reinforces the author’s commitment to accessibility and inclusive design — themes that run throughout the entire book and are increasingly central to digital product development.
Who this book is for
The target audience for the book includes engineering and design students and professors, user interface designers, and product managers who want to understand the latest advances in AI and Machine Learning without having to dive into excessive theoretical detail. The idea is that these professionals can take the knowledge they gain and apply it directly to their projects or product development work.
This makes the book especially relevant for product teams at tech companies that are looking to incorporate artificial intelligence into their interfaces but do not know where to start. Having a reference that balances technical fundamentals with practical guidance is a valuable shortcut in a market where the pace of change keeps accelerating.
AI and UX: a partnership that is here to stay
One of the most interesting parts of the book is the discussion about how artificial intelligence does not replace the designer, but completely changes the role they play in the creative and strategic process. Biswas argues throughout the chapters that the designer of the near future needs to understand the limits and capabilities of AI systems in order to make more informed design decisions. This is not about learning to build machine learning models — it is about understanding how those models influence product behavior and, consequently, the user experience.
Another point the book handles with care is the issue of accessibility in intelligent interfaces. Biswas, who has research focused on human-computer interaction and inclusive design, dedicates important sections to discussing how adaptive systems can be especially powerful for users with different abilities and needs. This is something that very few materials on AI and design address with the necessary depth, and it is a real differentiator of this work. Interfaces that adapt can organically reduce access barriers without requiring alternative versions of the product.
Why this book matters right now
The UI/UX Design market is transforming at full speed, and the pressure for designers to understand AI has never been higher. Tools like Figma already incorporate features powered by artificial intelligence, and prototyping platforms are increasingly automating parts of the creative process. In this landscape, having a solid foundation in how these systems work has gone from being a nice-to-have to pretty much a basic requirement for anyone who wants to stay relevant in the field.
What Biswas delivers with this book is exactly that: a foundation. A way to understand the fundamentals without getting lost in mathematical formulas or in explanations too shallow to make a real difference in practice. The author uses concrete examples, case studies, and references to real systems to illustrate each concept, which goes a long way in helping the content stick. The reading flows progressively, building the reader’s knowledge layer by layer — ideal for anyone just starting to explore the topic as well as for those who already have some familiarity and want to go deeper.
Published by Taylor and Francis, the book carries the weight of one of the most respected academic publishers in the world, but without the weight of a heavy and inaccessible read. That is a tough combination to pull off, and Biswas manages it. For any design professional who truly wants to understand how artificial intelligence is reshaping the field of user experience, this book is a reference that will stay on the shelf for a long time. 📚
