Researcher publishes new book on the UI/UX design process with artificial intelligence
UI/UX design and artificial intelligence have never been closer — and, at the same time, they have never felt so far apart for those working day to day with digital products.
If you have ever tried to understand how AI is changing the way we design interfaces and ended up lost in texts full of formulas and heavy theory, know that you are not alone. This is a real pain point for designers, engineers, and product managers who want to keep up with technological evolution but keep running into materials that seem made exclusively for people with a PhD in the field.
That is exactly the gap that researcher Pradipta Biswas, a former Gates Cambridge scholar, wants to close with his new book called Intelligent User Interface: Usable Artificial Intelligence and Artificial Intelligence for Usability, published by Taylor & Francis. The goal is simple and straightforward: demystify the most recent advances in the intelligent interface design process in a way that any designer, engineer, or product manager can understand — and, more importantly, put into practice. No inaccessible content or language restricted to specialists.
The book covers everything from machine learning models applied to interfaces to topics like augmented and virtual reality, human-robot interaction, cockpit design, trajectory prediction, autonomous vehicles, and the now-famous LLMs — the large language models behind tools like ChatGPT that are increasingly showing up inside real-world products and interfaces. 🤖 And it comes from someone with a resume that, honestly, is pretty impressive.
Who is Pradipta Biswas and why it matters
Pradipta Biswas is an Associate Professor in the Department of Design and Manufacturing and an associate faculty member at the Robert Bosch Centre for Cyber Physical Systems at the Indian Institute of Science. He completed his PhD in Computer Science at the University of Cambridge as a Gates Cambridge Scholar in 2006, where he explored visual and auditory perception, rapid aiming movements, and problem-solving strategies in the context of human-machine interaction.
Biswas was also elected vice-chair of ITU Study Group 9 and served as co-chair of the IRG AVA (Intersector Rapporteur Group on Audiovisual Media Accessibility) and the Focus Group on Smart TV at the International Telecommunication Union. These leadership positions in international bodies show that we are talking about someone with real influence on global accessibility and audiovisual technology standards.
This is not shelf theory: Biswas has worked on real projects involving interfaces for people with severe disabilities, embedded aircraft systems, and AI applications in critical contexts. He invented new algorithms for eye-tracking technology and patented an interactive Head Up Display controlled by gaze and gestures. Since returning to India, he expanded his eye-tracking work with the Indian Air Force and led a project to design a virtual reality cockpit for India’s first crewed space mission.
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On top of that, Biswas 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-of-its-kind toy hackathon, designed to help children with severe disabilities communicate through gaze-controlled interfaces. This body of work gives the book a practical weight that makes all the difference. 🎯
The fact that a researcher with this track record chose to write an accessible book without sacrificing technical rigor says a lot about where the UI/UX design market stands right now. The demand for professionals who understand artificial intelligence is growing rapidly, but the supply of materials that translate this knowledge for those on the front lines of digital products is still quite limited. It is a space that needed to be filled, and Biswas does it with authority.
What the book brings that is different for those working with user interfaces
One of the biggest highlights of the work is how it connects artificial intelligence concepts directly to the world of user interface design. Instead of treating AI as a separate topic, the book presents the technology as an integrated layer within the design process — something that influences everything from information architecture to how the system responds to user behavior in real time. This is especially relevant at a time when AI-based tools are already being incorporated into design workflows, product platforms, and digital experiences of all kinds.
The book presents specific case studies on the development of intelligent user interfaces for different practical contexts:
- XR (Extended Reality) systems: tools, platforms, and digital technologies that allow users to experience and interact with virtual, augmented, and mixed reality environments through advanced hardware such as headsets and smart glasses.
- Human-robot interaction: how to design interfaces that enable efficient and safe communication between people and robotic systems.
- Cockpit design: interfaces for aircraft and spacecraft cabins, a context where usability can literally be a matter of life and death.
- Trajectory prediction: the process of predicting future positions of agents such as vehicles or pedestrians over time, something crucial for autonomous driving and ensuring safe navigation.
Among the topics covered, XR systems and augmented reality occupy an important space. And it makes sense: these technologies represent one of the most promising frontiers of human-machine interaction, precisely because they dissolve the separation between the physical environment and the digital layer. Designing interfaces for AR and VR requires a different understanding of space, context, and the user’s cognitive limitations — something that traditional UI/UX design models still do not fully cover. The book dives into this discussion with depth but without losing the balance between theory and practical application.
Another strong point is the attention dedicated to LLMs — large language models. If you use ChatGPT, Gemini, Copilot, or any similar tool, you have already interacted with an LLM. But the question the book raises goes beyond personal use: how are these models being integrated into product interfaces? The book presents, for example, LLM-based human-robot interfaces and virtual reality-based spacecraft simulation systems, showcasing applications that are at the frontier of what is possible today in interaction design.
How should a designer think about user experience when part of the system is generative, unpredictable, and based on natural language? These questions do not have simple answers, but the book offers a structured path to start answering them. 💡
Accessible technical content with practical resources
Beyond the theory, the book brings resources that make life much easier for anyone studying or working in the field. It touches on a wide variety of topics, including human factors, computer vision, AR/VR systems, large language models, and usability evaluation techniques. It also discusses more recent AI systems, such as vision transformers, which represent a significant advance in how machines interpret images and visual contexts.
An important differentiator is that the book provides a list of free software available for download on the topics covered. This means the reader can go beyond reading and experiment hands-on with the concepts presented, without needing to invest in paid tools or expensive licenses.
Each chapter features graphic illustrations and a list of quick facts for review and memorization of key concepts, making the content more dynamic and easy to reference. The book also presents new project ideas on intelligent user interfaces that can be explored by students and early-career researchers — a valuable resource for anyone building a portfolio or looking for relevant research topics.
The book also discusses the most recent standards and guidelines related to areas like UI/UX design and layout, and details the equipment needed to set up an intelligent interaction design lab involving robots, drones, and XR systems. For educational institutions and research centers, this kind of practical guidance is worth its weight in gold. 🏗️
Who is this book for, anyway?
The target audience for the book is well defined: engineering and design students, university professors, user interface designers, and product managers who want to learn about the latest developments in AI and machine learning without diving into excessive theoretical details. The idea is that these people can use the information directly in their projects or in product development.
This audience choice is strategic. Instead of aiming only at the academic community, Biswas opened the content to market professionals who need to make informed technology decisions every day. This turns the book into a working tool, not just a bibliographic reference to cite in scientific papers.
Why human-machine interaction is at the center of all this
Human-machine interaction has always been at the heart of UI/UX design, but for a long time it was thought of in a relatively static way: the user clicks, the system responds. With the arrival of artificial intelligence — especially adaptive systems and generative models — this relationship has become much more dynamic, bidirectional, and, in some cases, surprising. The system now learns from the user, anticipates behaviors, suggests actions, and in certain contexts makes decisions autonomously. This completely changes the role of the designer and the way user interfaces need to be conceived.
Biswas’s book addresses this paradigm shift with seriousness but also with clarity. He explains how machine learning models can be used to personalize interfaces, adapt navigation flows, and improve the accessibility of digital products — all with concrete examples that help the reader understand where and how these technologies fit in. For anyone working in product design, this is the difference between being left out of the conversation or being prepared for the decisions already being made at technology companies around the world. 🌍
Biswas’s personal trajectory illustrates the importance of this intersection well. During his PhD at Cambridge, he explored visual and auditory perception, rapid aiming movements, and problem-solving strategies in the context of human-machine interaction. He invented algorithms for eye-tracking technology that were later applied in real-world contexts with the Indian Air Force. He designed virtual reality cockpits for space missions. He created gaze-controlled interfaces for children with severe disabilities. Each of these projects generated insights that are now consolidated in the book.
Another aspect worth highlighting is the discussion on robots and autonomous vehicles, which may seem far removed from the reality of someone designing apps and websites, but in practice raises fundamental questions about trust, visual feedback, intent communication, and the limits of automation — questions that apply directly to any system with AI components. Understanding how human-machine interaction works in these extreme contexts helps build better interfaces even in the most everyday scenarios.
What to expect from this movement in the design market
The publication of this book arrives at a time when the market is clearly looking for professionals who can move between UI/UX design and artificial intelligence with fluency. It is no longer enough to master prototyping tools or know how to apply usability heuristics — although that remains fundamental. What is at stake now is the ability to understand how intelligent systems behave, how they affect the user experience, and how design can guide that relationship in an ethical, functional, and people-centered way.
Augmented reality, LLMs, vision transformers, and adaptive systems are not distant future trends. They are already present in products that millions of people use every day, from voice assistants to camera filters, from personalized recommendations to health and education interfaces. The designer who understands how these technologies work under the hood — even without being an AI engineer — has a huge advantage when making product decisions that truly make sense for the end user. 🚀
Initiatives like this book from Biswas help build that bridge in an accessible and well-grounded way. They signal that the field of UI/UX design is maturing its relationship with artificial intelligence — moving past superficial fascination and into a territory of real, critical, and responsible application. And that, at the end of the day, is exactly what the tech market needs.
