Successful project completion after three years

How can AI enhance the interaction between vehicles and their users — and in doing so, increase safety and comfort in automated driving?

This was the central question of the KARLI project. On Wednesday, we celebrated the successful completion of the three‑year initiative, presented key results, and showcased three AI applications developed within the project:

• Person‑ and context‑sensitive AI interaction
  An adaptive interface that dynamically adjusts to user behavior and situational demands.
• AI‑supported prevention of motion sickness
  An intelligent system designed to detect and mitigate discomfort early during autonomous rides.
• A system for ensuring driving behavior matches the automation level
  A solution that continuously verifies whether the vehicle’s behavior aligns with the current level of automation.

Our role in the project focused on the application for preventing motion sickness. We were responsible for the conception, coordination, and execution of extensive user studies. The goal was to evaluate the effectiveness of the developed AI methods under realistic conditions and to generate robust insights for further optimization. The results provide valuable impulses for shaping future human‑machine interaction in the field of automated mobility.