“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, and interactive features to ensure universal design and content accessibility while minimizing cognitive overload for drivers. 

You will gain insights into:

• The unique challenges of mobile accessibility for in-vehicle digital content
• The benefits of mobile content accessibility guidelines
• The UX strategy for the success criteria of mobile accessibility 

• What methods can an AI-powered vehicle use to initiate the relationship with the driver?
• What approaches enable AI-powered vehicles to learn about drivers and continuously collect high-quality data?
• What strategies allow an AI-powered vehicle to predict what is beneficial for the driver in context?
• What mechanisms can an AI-powered vehicle use to acquire feedback on whether its understanding of the driver’s pattern is accurate?
• What steps can AI-powered vehicles take to maintain the relationship with drivers, even when faced with negative feedback?