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: Wednesdays 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

1.     Introduction to Intelligent User Interfaces

2.     State Space Search and Application to IUI

3.     Bayesian Inferencing

4.     Classification and Clustering

 

5.   Alternative Input Modalities Eye gaze, Head movement, Gesture and facial expression tracking

6.   Conducting and Analysing Research Statistical Hypothesis Testing

7.   Information Retrieval Content and Link Analysis

8.     Signal and Image Processing

9.     Convolutional Neural Networks

10.Information Visualization

11.Introduction to Augmented and Virtual Reality

12.Case Study on Human Robot Interaction

Sample Questions