Researcher publishes new book on the UI/UX Design process with artificial intelligence
UI/UX Design and artificial intelligence are merging in a way that few experts can explain clearly. That is exactly where a recently published work comes in, filling that gap with real substance and practical application.
Publisher Taylor & Francis just released the book Intelligent User Interface: Usable Artificial Intelligence and Artificial Intelligence for Usability, which promises to demystify the interface design process for anyone working or studying in the field — without needing to be a data scientist to understand the content. 🎯
The author is Pradipta Biswas, a Gates Cambridge Scholar from the class of 2006, associate professor in the Department of Design and Manufacturing at the prestigious Indian Institute of Science, and one of the most relevant names in human-machine interaction on the global stage. He is also an associate professor at the Robert Bosch Centre for Cyber Physical Systems, which gives a pretty clear sense of the technical depth he brings to the book.
Biswas has a heavyweight track record in international organizations. He was elected vice-chair of ITU Study Group 9 and served as co-chair of the group on Audiovisual Media Accessibility and the Focus Group on Smart TV at the International Telecommunication Union. In other words, we are talking about someone with real experience in defining global technology and accessibility standards.
The timing could not be better. We are living through a moment when interfaces are becoming increasingly intelligent — and professionals who do not keep up with this curve are going to feel the impact directly in their projects and products.
What makes this book different from everything else published on the topic
The vast majority of books on UI/UX Design still treat artificial intelligence as a separate element, almost like an appendix to the creative process. What Pradipta Biswas does in this work is different: he integrates both worlds from the very first page, showing how design decisions need to be made with AI at the center, not as an add-on.
This completely changes the way a designer structures their workflow, from user research all the way to usability testing. It is a paradigm shift that many people in the field still have not made.
The book covers a fairly wide range of topics. Among the subjects addressed are:
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- Human factors and how they affect interaction with intelligent interfaces
- Computer vision and its applications in interface design
- Augmented reality (AR) and virtual reality (VR) systems
- Large language models (LLMs) and how they are transforming interaction with digital products
- Usability evaluation techniques applied to AI-powered systems
- Advanced systems like vision transformers and LLM-based human-robot interfaces
- Spacecraft simulation systems built on virtual reality
Biswas manages to do all of this without sacrificing accessibility in the writing — something rare when the subject mixes design, human cognition, and advanced technology. The reading flows in a way that both a beginner designer and an experienced product engineer will get value from each chapter without needing to skip sections or turn to other materials for context.
Another important differentiator is the evidence-based approach. Biswas is not presenting loose theories or passing trends. The book features detailed case studies on the development of intelligent interfaces for XR systems, human-robot interaction, cockpit design, and trajectory prediction. For those unfamiliar with the term, trajectory prediction is the process of forecasting the future positions of agents — such as vehicles or pedestrians — over time, something absolutely fundamental to autonomous driving and safe navigation.
XR systems, meanwhile, are digital tools, platforms, and technologies that allow users to experience and interact with virtual, augmented, and mixed reality environments, typically through advanced hardware like headsets and smart glasses.
This is especially valuable in a market where the term artificial intelligence has become a buzzword and lost some of its technical meaning. Here, readers will find real substance. 💡
Augmented reality, XR, and the future of intelligent interfaces
One of the most talked-about aspects among those who have already had access to the content is the way the author treats augmented reality within the context of intelligent interfaces. Biswas argues that AR is not just an additional visual layer — it represents an entirely new grammar of interaction between humans and systems.
When you combine this technology with AI models capable of interpreting context in real time, the result is an experience that literally adapts to the user as they interact. Something that was confined to research labs just a few years ago is now hitting the market at an accelerated pace.
The book dedicates entire sections to how designers can start building for these hybrid environments — physical and digital at the same time — without needing to master advanced programming. The goal is to give UI/UX Design professionals a vocabulary and a set of mental tools for making smart decisions in these scenarios. This includes understanding:
- Cognitive limitations of users in AR environments
- Visual hierarchy in three-dimensional spaces
- How classic usability principles need to be revisited when the screen is no longer flat and instead exists in the physical space around the person
Beyond the theory, the work also provides practical guidance on the latest standards and guidelines relevant to UI/UX layout and design, as well as describing the equipment needed to set up an intelligent interaction design lab involving robots, drones, and XR systems. For anyone thinking about building a research or prototyping environment in this area, this information is a massive shortcut.
What makes this discussion even more relevant is the moment we are living in. Devices like augmented reality glasses are moving from concept to store shelves, and tech companies are investing billions in this direction. Designers who understand now how to build for these environments will be several steps ahead when this technology goes mainstream. Biswas’s book works almost like an early guide for that scenario, and that is a huge differentiator for anyone looking to position themselves well in the market. 🚀
Why user experience needs to evolve alongside AI
One of the most important debates the book raises is about the role of user experience in systems powered by artificial intelligence. For a long time, UX work was primarily associated with qualitative research, navigation flows, and information architecture. That remains fundamental, but AI has added a layer of complexity that few design education programs cover yet.
When a system learns from user behavior and starts making autonomous decisions about what to display, how to respond, and what to recommend, the role of the designer changes. They need to design not just for the initial state of the interface, but for every possible state the system might assume over time.
Biswas tackles this topic with a depth that goes well beyond what you typically find in blog posts or quick courses. He discusses concepts like adaptive design, context-based personalization, and the ethical risks of systems that learn without proper oversight. All of this in language that does not assume the reader is a machine learning engineer, but also does not oversimplify to the point of making the content shallow. That balance is hard to achieve and is one of the greatest strengths of the work.
On top of that, the book brings a really interesting global perspective. Biswas, who has worked on projects across different countries and cultures, discusses how user experience needs to account for cultural diversity, accessibility, and inclusion when systems are powered by AI. This is especially relevant because much of the data used to train AI models still reflects a very specific worldview, and designers who ignore this are essentially building products that work well for some and poorly for many. This critical awareness is something the book addresses very directly and without beating around the bush. 🌍
The journey of Pradipta Biswas and what he brings from Cambridge to the book
The background supporting this work goes far beyond theory. 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 — a field that is increasingly central to modern interface design.
Among the technologies he has patented is an interactive Head Up Display controlled by gaze and gestures, which shows we are talking about a researcher who does not just stay in the realm of theory. He makes things work in practice.
Since returning to India, Biswas has significantly expanded his work with eye-tracking technology in partnership with the Indian Air Force. He also led a project to design a virtual reality cockpit for India’s first crewed space mission — an achievement that places his work in a pretty select tier globally.
Even more impressive: Pradipta was one of five researchers in India selected to conduct studies on human-machine interaction aboard the International Space Station during the Axiom 4 mission. He also led the first toy hackathon of its kind, designed to help children with severe disabilities communicate through gaze-controlled interfaces. This experience in accessibility and inclusion runs through the entire work and gives the book a human depth that purely technical publications tend to overlook.
Practical resources that make a difference in day-to-day work
One aspect that deserves special attention is the author’s commitment to making the content genuinely useful for everyday professional life. The book includes:
- Graphic illustrations that make complex concepts easier to understand
- Quick facts lists in each chapter for review and retention of core concepts
- A list of free downloadable software related to the topics covered in the book
- New project ideas in intelligent interfaces that can be explored by students and early-career researchers
This structure makes the book work both as a quick-reference resource and as a deeper study guide. It is the kind of resource you keep on your desk and come back to as new challenges come up in your projects.
Who this book was written for
The Taylor & Francis publication was not designed exclusively for academics or researchers, although they will certainly find a lot of value in the content. The primary target audience includes:
- Engineering and design students
- Professors and faculty members in the field
- Interface designers who work daily on digital products
- Product managers who need to make informed decisions about AI and design
- Any professional who wants to understand the latest developments in AI and machine learning without having to dive into excessive theoretical detail
Students in design, computer science, and related fields also have a lot to gain from reading it. The book can be used as supplementary material in courses covering human-computer interaction, interface design, and intelligent systems. The content structure supports this use, with a logical progression of concepts and examples that help reinforce what is presented in each section.
For those just getting started in the field, having access to this kind of material is a huge advantage, because the market is already demanding this knowledge and most programs still have not updated their curricula to reflect this reality.
In today’s landscape, where generative AI tools are being incorporated into design platforms, prototyping systems, and even user research workflows, having a solid foundation on how these systems work and how to design with them — not just for them — is what will separate professionals who deliver real results from those stuck in methods that are already becoming outdated.
This book arrives at a moment when that distinction is starting to make a real difference in the job market and in the products that reach users’ hands. 📚
