Researcher publishes new book on the UI/UX design process with artificial intelligence
User experience has never been more central to technology discussions than it is right now. With artificial intelligence advancing at breakneck speed, designers, engineers, and product managers are scrambling to figure out how to apply all of this in practice without getting lost in dense, theory-heavy texts. The market increasingly demands professionals who can move seamlessly between the world of design and the world of emerging technologies, and that combination is still hard to find in a single place, whether in a course, a training program, or a book.
That is exactly where the book Intelligent User Interface: Usable Artificial Intelligence and Artificial Intelligence for Usability by Pradipta Biswas, published by Taylor & Francis, comes in. The goal is straightforward: make the latest concepts in UI/UX design and AI accessible to people who work day in and day out with interfaces, digital products, and intelligent systems. No fluff, no impenetrable jargon. The author, an associate professor at the Indian Institute of Science and a Gates Cambridge scholar, brings an impressive technical background that spans everything from research with the Indian Air Force to projects aboard the International Space Station. 🚀 If you really want to understand how AI and interface design connect in the real world, this book might be exactly what has been missing from your shelf.
What makes this book different from everything else you have read about design and AI
Most books on artificial intelligence applied to design fall into one of two common traps in the technical publishing world: they are either too shallow, packed with buzzwords and generic examples that are useless in practice, or they are so academic that they push away any professional who does not have a PhD tucked away in a drawer. Pradipta Biswas’s book does something different, and that distinction starts with the way he structures the content. Instead of separating theory from application into distinct blocks, the author weaves the two together throughout the entire reading experience, creating a narrative that makes sense both for newcomers to the topic and for those who already have some background in UI/UX design and want to deepen their knowledge.
The title alone reveals a lot about the approach: the work explores two simultaneous paths. The first is how to make artificial intelligence more usable, meaning how to make intelligent systems genuinely understandable and usable by people. The second is how to use AI to improve the usability of interfaces and digital products themselves. This duality is the heart of the book, and it is present in every chapter, every example, and every technical analysis the author presents. It is an approach you rarely see executed with this kind of clarity in the technical publishing market.
Another standout point is the context of the research that underpins the content. Biswas is not talking about experiments conducted in controlled labs with college student volunteers. He draws on references from real-world projects deployed in extreme and demanding environments, such as military research with the Indian Air Force and experiments developed for the International Space Station. This gives the text a level of credibility that few materials on human-machine interaction manage to achieve, and at the same time makes the examples far more engaging and revealing than the generic corporate case studies that usually show up in this kind of publication. 🛸
Core topics: from large language models to virtual cockpits
The book covers an impressive range of subjects. Among the highlights are case studies on the development of intelligent interfaces for XR systems, which encompass platforms and technologies for virtual, augmented, and mixed reality accessed through headsets and smart glasses. Topics such as human-robot interaction, cockpit design, and trajectory prediction are also covered. Trajectory prediction is the process of forecasting the future positions of agents like vehicles or pedestrians over time, something essential for the safe navigation of autonomous vehicles.
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Biswas dedicates entire chapters to technologies that are shaping the present and future of interface design. Large language models, for example, are discussed not just as text generation tools but as active components of human-robot interfaces. The book presents use cases where LLMs are integrated into robotic systems to create more natural and intuitive interactions, something that goes far beyond what most publications available today manage to cover in depth.
On top of that, the work explores vision transformers, one of the most relevant AI architectures for computer vision today, and discusses how these models can be applied in the context of intelligent interfaces. Virtual reality spacecraft simulation systems also enter the conversation, connecting readers to applications that sound like science fiction but are already under development in cutting-edge labs. The author played a direct role in designing a virtual reality cockpit for India’s first crewed space mission, which makes this entire discussion far more tangible and believable.
Each chapter includes graphic illustrations and quick-fact lists to make it easier to review and retain the core concepts. The book also offers project ideas related to intelligent interfaces that students and early-career researchers can explore, along with a list of free downloadable software related to the topics covered. This kind of practical resource is what turns an informative read into an actual working tool.
Augmented reality, AI, and the future of intelligent interfaces
One of the topics the book covers in considerable depth is the role of augmented reality within the context of intelligent interfaces. This is a subject that has been gaining more and more traction in conversations about the future of user experience, especially with the advancement of wearable devices, smart glasses, and AR platforms that are starting to appear more prominently in everyday life. The author explores how AI can be used to make augmented reality experiences more adaptive, more responsive to user behavior, and more integrated with the context in which they are used, something that goes well beyond simply overlaying digital information onto the physical world.
Augmented reality combined with artificial intelligence represents one of the most fascinating frontiers in interface design today. Biswas devotes significant space to discussing how AR systems can learn from usage patterns, adapt information display based on the detected environment, and even anticipate user needs before the person even realizes they need something. This level of personalization and anticipation is what separates a truly intelligent interface from one that is merely attractive or functionally correct, and the book explains this concept in a way that any designer or developer can follow without getting lost along the way.
Beyond that, the author connects this discussion to the real-world challenges of accessibility and digital inclusion, showing how AR and AI technologies can be designed to serve people with different abilities and usage contexts. This attention to diversity within design is one of the most mature aspects of the book, and it demonstrates that Biswas understands that a good user experience cannot be designed only for the average, hypothetical user. Truly intelligent interfaces need to be capable of adapting to each person’s reality, not the other way around. 🎯
The journey of Pradipta Biswas: from Cambridge to the International Space Station
To understand the relevance of the book, it helps to know a bit more about the person behind it. Pradipta Biswas received his Gates Cambridge scholarship in 2006 and completed his PhD in Computer Science at the University of Cambridge. During his doctoral research, he explored visual and auditory perception, rapid aiming movements, and problem-solving strategies in the context of human-machine interaction. It was during this period that 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 direction and gestures.
Currently, 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. He was elected vice chair of Study Group 9 of the ITU, the International Telecommunication Union, and served as co-chair of the Inter-Rapporteur Group on Accessibility in Audiovisual Media and the Focus Group on Smart TV, both also affiliated with the ITU.
After returning to India, Biswas expanded his work on eye-tracking technology in partnership with the Indian Air Force. He led the design of a virtual reality cockpit for India’s first crewed space mission and was one of five Indian researchers selected to conduct studies on human-machine interaction aboard the International Space Station during the Axiom 4 mission. To top it off, he also led the first-of-its-kind toy hackathon aimed at helping children with severe disabilities communicate through gaze-controlled interfaces. This trajectory gives the book a weight that goes far beyond the theoretical.
Standards, guidelines, and infrastructure for intelligent design labs
One aspect that clearly sets this publication apart from others in the same space is the attention given to the latest standards and guidelines related to UI/UX design. Many professionals in the field work day to day without a clear understanding of which international standards guide layout, element placement, and interface accessibility. The book brings these references together in an organized way, connecting each guideline to the practical context where it applies.
Another differentiator is the section dedicated to the infrastructure needed to set up an intelligent interaction design lab. Biswas details the equipment required for working with robots, drones, and XR systems in a research and development environment. For universities and companies that are just starting to invest in this area, this kind of practical guidance is extremely valuable and saves months of trial and error when it comes to putting together a functional experimentation space.
The book also presents usability evaluation techniques that go beyond traditional user testing methods. Tools based on computer vision, AI-driven behavior analysis, and automated engagement metrics are discussed as complements or even alternatives to conventional methods. This opens up a whole range of possibilities for design teams looking to make their evaluation processes more agile and grounded in concrete data.
Who this book was made for
Biswas clearly defines the target audience for the work. The book was designed for engineering and design students, educators, 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 readers can apply the knowledge they gain directly to their projects or product development efforts.
This audience definition matters because it shows the book does not try to be everything for everyone. It has a clear focus and respects the reader’s time, delivering quality information without asking anyone to become a neural networks expert just to get value from the content. It is the kind of material that works both as a starting point for those entering the topic and as a refresh for those already working at the intersection of design and technology.
Why design and technology professionals should pay attention to this publication
The UI/UX design market is going through a deep transformation, and part of that transformation is being driven precisely by the arrival of artificial intelligence as an active tool in the design process. Tools that auto-generate interfaces, systems that analyze user behavior in real time, algorithms that suggest improvements to user journeys based on data — all of this is changing the role of the designer and creating an urgent demand for professionals who understand both worlds. Biswas’s book is one of the few available references that manages to address this demand in an organized and actionable way.
For those working in human-machine interaction, the book provides a solid conceptual foundation on how AI models understand and process human behavior, and how that understanding can be translated into more precise and efficient design decisions. It is not about replacing the designer’s intuition and creativity with algorithms but about expanding the technical toolkit available for making better, more informed, and more human-centered decisions. This is a skill that is becoming increasingly valued in the market, and understanding the theoretical foundation behind it makes all the difference when it comes time to put it into practice.
What becomes clear after diving into the content is that Intelligent User Interface was not written to sit on a university library shelf. It was built to be a working tool, a reference that professionals can consult while in the middle of a project, searching for real answers about how to balance system intelligence with the user experience they want to deliver. At a time when artificial intelligence is everywhere but deep understanding of it remains rare, having access to a publication with this level of quality and clarity is, at the very least, a pretty significant competitive advantage. 📚
