The complexity of modern car HMIs is outstripping traditional testing methods. This presentation introduces a paradigm shift: an AI agent that can interact with your HMI as if it were a real person. By combining the power of large language models and computer vision, this “digital user” can perform tasks, identify bugs, and even provide feedback on user flows autonomously. We’ll show you how this technology can transform your QA process, enabling you to run thousands of test cases in a fraction of the time and uncover issues that static scripts often miss, ultimately leading to a more intuitive and reliable in-car experience for drivers.

Main takeaways:

• Demonstrating how AI and computer vision agents can dynamically explore, validate, and test HMIs
• Learn how your team can dramatically reduce manual effort and shorten development timelines
• See how to make AI agents reliable for niche use cases