Academic publishes new book on the UI/UX design process with artificial intelligence
UI/UX design and artificial intelligence have been going hand in hand for a while now, but folks who work day-to-day with interfaces still hit a massive wall when they try to figure out how to actually apply all of this in practice.
On one side, advances in AI and machine learning are happening at a breakneck pace. On the other, designers, product managers, and students are trying to keep up without necessarily wanting to become data scientists in the process.
This gap has existed for years, and anyone working in digital product creation knows exactly what we are talking about. 😅
It was precisely to close this gap that Pradipta Biswas, an associate professor at the Indian Institute of Science and a former Gates Cambridge Scholar from the class of 2006, released a book that promises to become a go-to reference for anyone who wants to understand intelligent interfaces without drowning in complex formulas and algorithms.
The title is Intelligent User Interface: Usable Artificial Intelligence and Artificial Intelligence for Usability, published by Taylor & Francis, and it brings together in one place topics like augmented reality, human-computer interaction, large language models, trajectory prediction, cockpit design, and much more.
But what makes this book different from so many others on the same subject?
The answer lies in who wrote it, what he has experienced, and the real-world problems he has solved throughout his career. 🚀
An author with a real story behind the pages
Pradipta Biswas is not a researcher who spent his entire life stuck inside a lab. He has a trajectory that combines top-tier academia with applied projects in highly demanding contexts, which gives the book a depth that goes well beyond pure theory. Biswas is an associate professor in the Department of Design and Manufacturing at the Indian Institute of Science and also serves as an associate professor at the Robert Bosch Centre for Cyber Physical Systems, a research center focused on cutting-edge cyber-physical systems.
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Beyond his academic career, he was elected vice-chair of ITU Study Group 9 at the International Telecommunication Union, served as co-chair of the IRG AVA group focused on audiovisual media accessibility, and also led the Focus Group on Smart TV at the same organization. This level of involvement with international standards shows that Biswas is not just researching technology within a university campus. He actively participates in defining guidelines and standards that impact the entire industry.
This practical background is exactly what sets the book apart. Instead of presenting artificial intelligence as a collection of isolated concepts far removed from reality, Biswas starts from concrete situations to explain how AI can and should be integrated into the interface design process. He understands that the everyday designer or product manager does not need to master linear algebra to make good product decisions. What they need is to understand how models behave, the limitations of the technologies, and most importantly, how the end user will react to all of it.
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 advances in eye-tracking technology. Among the technologies he patented is an interactive Head Up Display controlled by gaze and gestures. 📚
What is inside the book and why it matters right now
The book covers a pretty broad range of topics, and the most interesting part is how they connect organically throughout the chapters. It addresses subjects ranging from human factors and computer vision to augmented reality and virtual reality systems, passing through large language models and usability evaluation techniques.
Among the case studies presented, Biswas details the development of intelligent interfaces for XR systems, human-robot interaction, cockpit design, and trajectory prediction. It is worth explaining that trajectory prediction is the process of forecasting future positions of agents, such as vehicles or pedestrians, over time — something fundamental for autonomous driving since it allows anticipating movements and ensuring safe navigation. XR systems, meanwhile, encompass digital tools, platforms, and technologies that allow users to experience and interact with virtual, augmented, and mixed reality environments through advanced hardware like headsets and smart glasses.
The book also discusses the latest standards and guidelines relevant to areas such as UI/UX design, interface layout, and the equipment needed to set up an intelligent interaction design lab involving robots, drones, and XR systems. This kind of practical information is hard to find gathered in one place, and that makes the book particularly useful for teams that are just starting to build out research and prototyping capabilities.
Large language models, the models behind tools like ChatGPT and many others, also get significant coverage in the book. It addresses how these models can be integrated into interfaces in a way that makes sense for the user — without creating confusion, without generating expectations the technology still cannot meet, and without compromising the product’s usability. Biswas specifically covers LLM-based human-robot interfaces, showing how natural language can serve as the bridge between people and autonomous systems.
The book also discusses the latest AI systems, such as vision transformers and virtual reality-based spacecraft simulation systems. And here is a detail many will appreciate: the book provides a list of software available for free download on the topics covered. This allows readers to not only understand the concepts but get their hands dirty right away.
Each chapter features graphic illustrations and a list of quick facts to make reviewing and memorizing core concepts easier. On top of that, the book includes ideas for new projects on intelligent interfaces that can be explored by students and early-career researchers. It is the kind of resource that turns a reference book into something you actually use on a daily basis. 🎯
Who the book was written for
The target audience is clearly defined: students and professors in engineering and design, interface designers, and product managers who want to learn about the latest developments in AI and machine learning without having to dive into excessive theoretical details. The idea is that these people can apply the knowledge they gain directly to their projects or product development work.
This audience choice is strategic and very well thought out. The market is full of technical material on AI that was written by and for machine learning researchers. What was missing was a book that speaks the language of the people on the front lines — the ones who will actually decide how AI shows up on a phone screen, a car dashboard, or a hospital system interface. Biswas fills that space with authority, combining technical rigor with clear communication.
One thing becomes very clear when you look at the author’s profile: he knows how to speak to different audiences. The book was not written just for researchers. It was designed for people at the intersection of technology and user experience — in other words, for those who need to make UI/UX design decisions every day and want to do so with more grounding and greater awareness of AI’s impact on the products they create.
Intelligent interfaces as the next market standard
There is a trend that is becoming increasingly obvious in the tech market: intelligent interfaces are no longer a competitive advantage — they are becoming a baseline expectation for users. Apps that learn from user behavior, platforms that adapt content in real time, systems that anticipate needs before users even realize they have them — all of this is already part of the reality of digital products across multiple categories.
The challenge now is no longer whether AI will make it into the product, but rather how it will get there in a way that respects users, remains transparent, and delivers real value.
Biswas’s book arrives at a moment when this debate is at the center of conversations among the world’s leading product teams. Companies of all sizes are hiring designers and researchers with AI expertise, building hybrid teams that combine UI/UX design skills with technical understanding of machine learning models. In this context, having a reference that speaks the language of both worlds simultaneously is extremely valuable.
From theory to practice: real projects that shaped the book
One of the coolest things about this book is that it was not born in a vacuum. After returning to India, Biswas built upon his work with eye-tracking technology in partnership with the Indian Air Force. He also led a project to develop a virtual reality cockpit for India’s first crewed space mission. This kind of hands-on experience gives the book a layer of credibility that goes far beyond academic citations.
More recently, Biswas was one of five researchers in India selected to conduct research studies on human-machine interaction aboard the International Space Station during the Axiom 4 mission. When someone who has been part of a project of that magnitude writes about intelligent interfaces, the content takes on an entirely different dimension.
He also led the first toy hackathon of its kind, designed to help children with severe disabilities communicate through gaze-controlled interfaces. This work with accessibility and inclusive design shows up consistently throughout the book and reinforces that AI, when properly applied to design, has the potential to make products more accessible and more human — not the opposite.
This perspective is refreshing and necessary at a time when there is plenty of talk about the risks of technology, but very little discussion about how to use it to expand access and improve lives in tangible ways. 💡
Human-computer interaction as the connecting thread
Human-computer interaction is treated as the connecting thread throughout the entire narrative of the book. Biswas starts from the principle that every design decision is, at its core, a decision about how people will relate to technology. When artificial intelligence enters the picture, that relationship becomes more complex, more dynamic, and at the same time, richer in possibilities.
The book shows how to think through this complexity in a structured way, with practical frameworks that can be applied to real projects regardless of team size or product stage. This makes the read relevant for beginners and seasoned professionals alike.
The case studies on human-robot interaction and virtual reality spacecraft simulation systems vividly illustrate how theoretical concepts translate into real solutions. It is not every day you find a book that manages to connect human factors, computer vision, LLMs, and usability evaluation into a coherent and accessible narrative.
The release of Intelligent User Interface: Usable Artificial Intelligence and Artificial Intelligence for Usability by Taylor & Francis represents more than an academic publication. It is a clear signal that the conversation between UI/UX design, artificial intelligence, and human-computer interaction is maturing, gaining depth, and finally reaching the hands of those who truly need it to build better products.
