As vehicles evolve into intelligent companions, context-aware interaction becomes essential to ensure safety, comfort, and user acceptance. This talk explores the architecture and use cases of an automotive assistance platform that fuses environmental sensor data, user state insights, and situational context to dynamically adapt in-cabin interaction. By understanding not just what is happening around and inside the vehicle—but why it matters in that moment, OEMs and Tier 1s can deliver meaningful, human-centric assistance that responds intelligently to real-world complexity. Practical examples will highlight how this context fusion enables cognitive load management, adaptive HMI strategies, and seamless user experiences.

This talk will bring insights into:

• How multimodal context fusion—integrating environmental, user, and situational data—enables smarter, more intuitive in-cabin assistance
• Why awareness of driver state and driving task demand and other situational information is critical for reducing cognitive overload and improving safety
• How passenger-aware adaptation personalizes interaction and enhances the overall in-cabin experience