Shrivaas Madapusi Sundar

The aim of this Master Thesis is to analyze the effect of AI-driven personalization of automotive user interfaces on the user experience of a fully automated vehicle's occupants. Responsible for user research , developing use cases for personalized HMI, designing and developing interactive prototypes. Subsequent user testing will be performed. Owing to the COVID-19 pandemic, the project is being executed online, with an emphasis on exploring suitable research methods.

Responsible for development of a system to calculate distance between an autonomous vehicle and a pedestrian crossing in real time based on Global Navigation Satellite System to act as a trigger for external HMIs. The prototype employed the u-blox F9P board was tested successfully with an accuracy of 1 cm.

Automotive Human Factors, User Experience Design, User Experience Theory and Practise, Design with and for Multiple Stakeholders, Design for Focussed and Peripheral Interaction, Community Experience Design, Research Methods, Systems Design Engineering

Automotive Engineering, Machine Design, Manufacturing Technology, CNC & APT , Applied Thermodynamics, Modern Manufacturing Methods, Materials Science, Fluid Mechanics and Hydraulic Machines