Intelligent User Interface

Usable Artificial Intelligence and Artificial Intelligence for Usability

Pradipta Biswas

• Publisher: CRC Press
• Year: 2026
• eBook ISBN: 9781040685617
• Topic: Design
• Subtopic: Computer Engineering

This book aims to mainstream UI/UX design process by explaining latest AI/ML models in a comprehensible way and highlighting case studies on developing intelligent user interfaces for XR systems, human robot interaction, cockpit design and trajectory prediction. The book also discusses the latest standards and guidelines relevant to UI/UX design, layout and equipment list for setting up a lab on intelligent interaction design involving robots, drones and XR systems.

Features:

• Covers a wide array of topics ranging from human factors, computer vision, AR/VR systems, large language models (LLMs) and usability evaluation techniques including statistical hypothesis techniques
• Discusses latest AI systems such as vision transformers, LLM-based human robot interface and virtual reality-based spacecraft simulation systems
• Provides a list of freely downloadable software on the covered topics
• Contains graphical illustrations and a list of quick facts for easy review and recall of basic concepts in each chapter
• Gives new project ideas on intelligent user interfaces that can be explored by students and early career rsearchers

The intended audience of this book is engineering and design students and faculty members, user interface designers, and product managers who would like to be aware of latest AI/ML without diving into too many theoretical details, and use it for their project or product development.

Table of contents

• Cover
• Half-Title
• Title
• Copyright
• Contents
• Preface
• About the Author
• Acknowledgements
• 1 Introduction
• 2 Human factors
• 3 Basics of AI/ML
• 4 Modalities of interaction
• 5 Computer vision
• 6 Textual information processing
• 7 Information visualization
• 8 User study
• 9 Human–robot interaction
• 10 Case studies on cockpit design
• 11 Case studies on trajectory prediction
• 12 Standardization
• 13 Concluding remarks
• Appendix 1: Setting up an IUI lab
• Appendix 2: List of software
• Appendix 3: Sample questions
• Appendix 4: Basic Maths Requirement for Teaching
• Bibliography
• Index