Automotive UI

Course Overview

This will be an advanced course with prerequisites of Human Computer Interaction course. It will walk through the evolution of different HMIs in automobiles from history to state-of-the-art. It will discuss the challenges and limitations of existing solutions to improve UI for Head Down Display (HDD) as well as Head Up Display (HUD). As driver distraction is a key challenge, this course will also focus on distraction detection and cognitive load estimation of drivers from different physiological parameters like EEG, pupil dilation and so on. It will introduce the candidates to formulate a problem statement, design an experiment, conduct a user trial, and draw inference from the study. The multimodal interaction will help candidates to design a UI using multiple input and output modalities for operating the same interface. The candidates will have to work on a coursework-project that will embark them in innovating novel methods and prototypes for addressing challenges in automotive UI and beyond (different fields of engineering). The practical sessions will let the candidates explore the application of different methods in mechatronics, robotics, signal processing, machine learning and product design. This course will prepare the candidates in contributing to society by addressing real-life challenges through engineering skills. It will also help them in extending their careers in HCI for aviation, music, robotics (HRI), Severe Speech and Motor Impairment (SSMI) community by being inclusive in designing a product from its cradle to grave.

Topics covered but not limited to:

Evolution of automotive HMIs

Challenges of interaction in existing HDD and HUD

Quantitative Research

Qualitative Research

Problem Definition

Experiment Design

User Study

Driver Distraction

Cognitive load estimation

Hands-on with sensors and actuators

Applied Machine Learning/ Deep Learning

Multimodal Interaction

UI/UX for electric and autonomous vehicles

Coming Soon..