ConAI

Digitalization and the number of ADAS in vehicles are steadily increasing. Ensuring that drivers understand these systems is essential for their correct use and for realizing their full potential in terms of safety and efficiency. Today, drivers often rely on fragmented information or trial-and-error learning, which can lead to misuse, increased safety risks, or the deactivation of ADAS features.

This project investigates how voice-based AI agents can enhance truck drivers’ understanding of ADAS. The goal is to create an effective and engaging learning experience that supports drivers across different phases of use. The project is guided by three research questions:

• How do truck drivers currently learn to use ADAS?
• How can AI-based voice agents improve their understanding of ADAS?
• How do such agents influence driver behavior, trust, and acceptance?

Interviews and workshops with truck drivers will be carried out to map current learning strategies. Through co-creation activities, concepts for AI-based voice agents will be developed. At least one of these concepts will be implemented in a simulator or vehicle and evaluated with approximately 20 truck drivers.

By improving learning and understanding of ADAS, the project creates the foundation for safer and more frequent use of these systems.