This project focuses on developing innovative In-Vehicle Infotainment (IVI) systems for the year 2030, leveraging AI, machine learning, and smart technology. Students will choose from one of three problem statements that are applicable across all Stellantis brands, creating scalable UX solutions while adhering to specific brand guidelines. The outcome will be multi- modal, incorporating multiple modes of interaction between the user and their vehicle. The project aims to address safety, convenience, energy efficiency, and predictive maintenance within the automotive context.
Design an advanced IVI system integrating AI to optimize safety and convenience. The system should include: Seamless voice and gesture controls, Predictive navigation based on real-time traffic and hazard alerts, Personalized entertainment options. Your design should prioritize safety while enhancing the driving experience. Consider howAI can provide intuitive, anticipatory interactions for the user.
After researching the 2024 Jeep Grand Cherokee's newest technological features and marketing emphases, we started ideating possible existing features to incorporate AI in order to better enhance Jeep's target groups of families and daily drivers.
Our final design emphasizes AI-centered usage on safety features, personalized interface, and suggested routes to improve the wellbeing and safety of Jeep users.
Throughout the ideation process, we received guidance from our course professor and direct mentorship from our GSI, who are both experienced in designing for CID interfaces. By encouraging us to follow center display design guidelines while exploring new and innovative design solutions, we iterated on low-fidelity, mid-fidelity, and high-fidelity designs. By utilizing Jeep's already existing feature of Night Camera Mode and family oriented UI design, we focused on the following new design features:
Safety Alerts and Suggestions on cluster display camera view allow users to access safety alerts directly in their line of sight to minimize distraction, and AI Visual lane graphics indicate safer, faster routing to destinations.
Designs would be consistent with existing Night Mode view to alert users of roadway obstructions.
Navigation Smart Suggest allows Jeep users to follow other vehicles on off-road routes, providing AI optimized paths.
Follow Driver Camera Mode uses the previously described front-facing camera to provide lane graphics to follow Smart Suggest routes and track registered vehicles.
Passenger Display provides a more personalized version of the home screen and app selector screen, specifically tailored to the users' profile.
Users can also set driver modes to indicate the passenger's role to optimize safety (i.e. Drowsy Driver mode would provide features for the passenger to better help the driver stay awake during long drives).
Each design iteration consisted of direct feedback from peer designers and design mentors from Stellantis that visited during course discussion times.