Project

Full title: Impairment-Aware Intelligent Mobility System 2

In collaboration with SmartEye AB, the I-AIMS2 project explores how driver safety, well-being, and fuel efficiency can be improved by monitoring the driver and using a large language model (LLM) with voice feedback to support and regulate the driver’s mental and emotional state.
The LLM, called Sheila-Guard, is being developed for in-vehicle use and will be tested both in driving simulators and in a physical demonstrator car. The project will define safe operational limits for Sheila-Guard and examine how it affects driver cognition in different driving scenarios – including those using an embodied interface in the form of a robotic head.

Traffic safety benefit: I-AIMS2 aims to utilise LLMs with embodied robotic interfaces for safe use in vehicles in safety-relevant scenarios according to i) driver state (above all stress, fatigue), ii) external traffic events. 

Key words: Driver safety, Stress regulation, LLMs, Robot head