Intelligent User Interface

Pradipta Biswas is an Associate Professor at the Department of Design and Manufacturing, associate faculty at the Robert Bosch Centre for Cyber Physical Systems and Curriculum Committee member of HAL-IISc Skill Development Centre at Indian Institute of Science. His experiment on human computer interaction is one of the seven experiments selected for the Axiom-4 mission to be launched on 10th June. He was elected a vice chairman of ITU Study Group 9 (2022-24) and also a Co-Chair of the IRG AVA (2020-24) and Focus Group on Smart TV at International Telecommunication Union, the telecom branch of United Nations. He is a convenor of BIS (Bureau of Indian Standard) Panel on Metaverse.His research focuses on user modelling and multimodal human-machine interaction for aviation and automotive environments and for assistive technology. He set up and lead the Interaction Design (I3D) Lab. His research won Microsoft’s AI 4 Accessibility Grant Award, Facebook’s Responsible AR/VR Award and research grants from Collins Aerospace (on AR-AI integration), Siemens (on Holoportation) , British Telecom (on AR/VR Systems), Faurecia Groupe Services Ltd. (on Automotive UI), Wipro Ltd (On Autonomous Vehicle), Defence Research and Development Organization (DRDO), Indian Space Research Organization (ISRO), Departments of Science & Technology (DST) and BioTechnology (DBT) and was featured in New Scientist, NDTV, All India Radio and various other media outlets.Earlier, Pradipta was a Senior Research Associate at the Engineering Department, Research Fellow at Wolfson College and Research Associate at Trinity Hall of University of Cambridge. He completed PhD in Computer Science at the Rainbow Group of University of Cambridge Computer Laboratory and Trinity College in 2010 and was awarded a Gates-Cambridge Scholarship in 2006. He is a member of the UKRI International Development Peer Review College, and was a professional member of the Society of Flight Test Engineers British Computer Society, Associate Fellow at the UK Higher Education Academy and Royal Society of Medicine.

• 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.