AI for UI/UX Design

 Objectives 

·         Introducing importance and applications of Intelligent User Interface (IUI)

·         Discussing basics of Artificial Intelligence and its application in user interface design

·         Developing intelligent user interface using multiple input and output modalities

·         Augmented, Virtual and Mixed Reality Systems

·         Evaluating user interfaces through user trials and Statistical Hypothesis Testing

·         Undertaking representative IUI project

 

Target Group:

 

Industry, R&D Units

 

Link to Registration

Syllabus

·            Using AI to develop intelligent interface and interaction

·            Idea of user modelling and interface personalization

·            Exposure to state-of-the-art eye gaze, hand, head and finger movement and EEG trackers

·            Developing new input modalities tracking eye gaze, hand, finger, head movement of users

·            Developing AR/VR systems

·            Case Studies on CNN models for developing autonomous vehicle

·            Human Robot interaction, Cobot development

·            Hands on training on Expert System and Machine Learning toolbox

·            Conducting usability evaluation and reporting results

 

  

Faculty:

Dr. Pradipta Biswas

Asst. Professor, Dept. of CPDM, IISc

E-mail:  pradipta@iisc.ac.in 

 

  

Who can apply?

BE, B.Tech., MCA

Pre-requisites:

Basic Knowledge of Computer Programming & Mathematics

 

Course Fee: Rs. 10,000/-

 

Schedule: Wednesday’s 6 pm  to 8 pm

 

Reference Books:

1.  Russell, S. J., Norvig, P., & Davis, E. (2010), Artificial intelligence: a modern approach. 3rd ed. Upper Saddle River, NJ: Prentice Hall. 

2.  Shneiderman B. , "Designing The User Interface - Strategies for Effective Human-Computer Interaction." Pearson Education

3.  Norman K (Ed), Wiley Handbook of Human Computer Interaction, Wiley 2017

4.  Field A, "Discovering Statistics Using SPSS", SAGE Publications Ltd., 2009.

 

Lecture Notes

Introduction to Intelligent User Interfaces

State Space Search and Application to IUI

Bayesian Inferencing

Signal and Image Processing

Classification and Clustering

Convolutional Neural Network (CNN)

Information Retrieval – Content and Link Analysis

Information Visualization

Intelligent Interaction Techniques

Introduction to Haptics

Display Technologies

Spatial Audio

Machine Learning Model Evaluation and Validation

Qualitative Research

Case Study on Autonomous Vehicle

Multimodal Human Robot Interaction