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Registration & we.Community Wall

The official registration for the conference: Pick up your name batch, take a Polaroid photo for the Car HMI USA Community Wall, use your personalized matchmaking app, make first contacts & plan meetings and get started. Welcome to the Car HMI USA!Read more

Solution Study: Validating Software-Hardware Integrated In-Car Experience Design

Modern vehicles are showrooms where emerging user interface technologies show up and digital convergence happens. These technical barriers weigh automotive designers down and make the design process slow down. In this talk, you will learn more about: How to simulate and validate in-vehicle experience design, which is integrated software and hardware The importance of theRead more

Case Study: Shaping the Future of In-Car Connected Services User Experience

The future of connected services in the automotive industry is on the brink of a transformative era, characterized by dynamic and innovative solutions. This evolution is primarily steered by advancements in automation, connectivity, and sustainability. This session will cover some of the key trends and best user-focused technologies shaping the future of in-car payment services.Read more

3 | Challenge Your Peers: How Will Mixed Reality (AR/VR) Interactions in AVs Shape the Future of HMIs?

What are the most critical pain points to address when integrating XR into vehicle HMIs to enhance user experience? How do we ensure that immersive AR/VR elements do not compromise the safety and quick usability required in driving? Which current interaction models in vehicles might be disrupted or need to be redefined with the introductionRead more

Case Study: Strengthening Driver-Vehicle Communication for Seamless AD Transitions

Transitioning between AD and manual control remains a critical challenge whenever new technologies are introduced in AVs. Audrey Nielot explores the strategies and technologies designed to effectively inform drivers when to take over control from an AV. Focusing on ADAS and their role in facilitating a smooth communication pathway between the AV and the driver,Read more

Case Study: Supporting Driver Attention Holistically – An MIT AHEAD Perspective and Framework

As vehicle sensing, computational, and assistance systems advance, supporting driver attention in real-time across a range of operating contexts is crucial. Traditional distraction mitigation approaches and design guidelines have not evolved with vehicle technology and the growing research on driver attention management. The AHEAD consortium, an academic-industry partnership led by MIT, is pioneering the developmentRead more

Lunch Break & Networking

Get coffee, get snacks, make connections and talk with your peers – and have the chance to actively participate in product and service demosRead more

Keynote: Optimizing Comfort and Safety with Intuitive Lighting in Car HMI

When thinking about safety and comfort in vehicles, what role does lighting have? This presentation will explore how intuitive lighting in car HMI significantly enhances both comfort and safety for drivers and passengers. We will see how this technology integrates ambient, functional, dynamic, and feedback lighting systems that respond to various driving conditions and userRead more

Case Study: Mobile Accessibility for In-Vehicle Digital Content User Experience

“Mobile accessibility” refers to making digital applications easier to perceive, operable, and understandable to people with disabilities when they are using mobile devices, including vehicle IVI. This study investigates strategies for enhancing in-vehicle digital content and app accessibility. Recognizing the unique challenges posed by the driving context, the research explores methods to test interface design, content presentation, andRead more

2 | Icebreaker: What Will Next-Gen Sensor Fusion and Annotation Look Like for Autonomous Vehicles?

How can sensor fusion and annotation systems be optimized for complex environments and weather conditions? How can AI improve next-gen annotation and handle rare but critical driving scenarios? What strategies can enhance data quality and labeling accuracy for training autonomous driving models?Read more