
Explore how automotive ux differs from mobile interfaces, including Android Auto and Android Automotive OS, prioritizing safety-critical attention and coordinating IVI across vehicle displays.
Prioritize safety by reducing gaze time and cognitive load with short, well-structured flows and clear hierarchy. Use voice and steering wheel controls to keep eyes on the road.
Explore how Android Automotive OS adapts Android to vehicles, exposing vehicle data via Car Service and VHAL with permissions, plus car app library patterns for safe, glanceable media and navigation.
Design for adaptability across the cockpit by supporting multiple screens and inputs, from center stack to head-up display and instrument cluster, with a responsive user interface, high contrast, and legibility.
Adapt the Android Automotive UI to the driving context using vehicle state APIs, reacting to gear and speed changes to reduce cognitive load and improve safety.
Leverage the android automotive design system and car uilib to enforce safety and consistency, using lists, map-based templates, action strips, and pane layouts for cockpit UI.
Coordinate touch voice and rotary input in a multimodal automotive interface with clear rules, immediate feedback, and 60 pixels targets, avoiding edge-hugging controls and ensuring primary actions stay reachable.
Prioritize glanceability with strong structure, disciplined typography, restrained color, and purposeful iconography. Design for short tasks with one-tap choices and high-contrast labels to speed comprehension.
Explore automotive user research and persona development to design driver-focused interfaces. Build driver and secondary-user personas, conduct contextual inquiries, and map tasks to reduce glance time and cognitive load.
Design car information architecture with shallow driving surfaces, deeper resting areas, anchor the home around next actions, and use stable, glanceable navigation and voice search.
Translate wireframing constraints into automotive layouts using figma, sketch, or adobe xd with aaos templates for map-centric screens, grids, and search flows; prototype voice and touch flows with in-motion considerations.
Evaluate automotive UX in a controlled simulation by defining test plans with target personas, measuring task completion, glances, and workload; translate findings into iterative, safety and glanceability focused design improvements.
Treat all media sources—radio, Bluetooth, USB, and streaming—as first-class, unified by a consistent model for quick, relearned controls, prioritizing the now playing surface with large artwork and clear transport controls.
Design cockpit navigation with legible maps, stable motion, and voice search, offering clear route options, a primary plus two alternatives, and cluster and HUD guidance.
Design climate and comfort controls in Android Automotive UI with intelligent auto mode, quick overrides, and clear visual confirmation. Prioritize large targets, symmetric driver–passenger temperature, and safe redundant physical controls.
Design how drivers stay connected without distraction by creating compact incoming call surfaces, voice-first messaging, and graded, nonintrusive notifications that preserve navigation and safety.
Design seamless in-car personalization with profiles that auto-apply seat, climate, and media. Provide glanceable profile switching, guest options, and privacy controls for multi-driver and digital key scenarios.
Explore passenger experiences with separate zones for audio, video, climate, and navigation interactions. The driver maintains safety priority, with send-to-driver features, parental controls, and motion-friendly controls.
Design the instrument cluster and head-up display for eyes-on-the-road safety by prioritizing state (speed, gear, range), guidance (next maneuver with lane guidance), and alerts with stable, legible typography.
Collaborate with OEMs, Tier 1s, and platform providers to meet certification and safety requirements. Translate brand into cockpit design with tokens, define glanceable interfaces, and document tests for compliance.
Highlight the differences between mobile and automotive UI design for the driving context, prioritizing glanceability, uninterrupted focus, and alternative inputs such as voice control, physical buttons, and rotary controllers.
Compare mobile and automotive navigation UIs through the lens of driving context. Mobile apps show detailed maps and multi-touch controls, while automotive UIs prioritize simplicity, voice control, and minimizing distraction.
Prioritize essential information, minimize visual clutter, use clear language, and provide auditory and haptic feedback to reduce driver distraction in automotive UI design.
Explore accessibility in automotive user interface design and implement inclusive strategies, including customizable font sizes, alternative input methods like voice control, and high color-contrast for safer, more usable driving experiences.
Explore how accessibility shapes automotive ui/ux by using voice control for hands-free calls, messages, and navigation, reducing distractions and boosting safety for all drivers, including those with visual impairments.
Minimize driver distraction and design for diverse abilities in automotive user interfaces, and leverage voice control, customizable font sizes, alternative input methods, and color contrast to improve accessibility.
This course contains the use of artificial intelligence. Designing for the car is unlike designing for phones or desktops: attention is scarce, motion is constant, and safety is non-negotiable. Android Automotive UI/UX Fundamentals turns the full course outline into a practical, production-ready journey that teaches you how to craft calm, legible, and certifiable in-car experiences on Android Automotive OS (AAOS).
You’ll start with Foundations (Module 1): the real differences between Android Auto, AAOS, and other IVI stacks; how the digital cockpit comes together across center stack, cluster, HUD, and passenger displays; and why safety—driver distraction limits, cognitive load, and “eyes on the road, hands on the wheel”—shapes every design decision.
In Design Principles & Patterns (Module 2), you’ll go deep on AAOS guardrails: using CarHardwareManager to adapt UI to driving state (speed, gear, night mode); mastering car-ui-lib templates and core components (lists, maps, action strips, panes); and nailing interaction models across touch (≥60 px targets), voice (Assistant-first flows), and rotary (predictable focus). You’ll learn information hierarchy and glanceability that favor short tasks and fast comprehension.
The UX Process for Automotive (Module 3) adapts research, IA, wireframing, and prototyping to the cockpit. Build driver/passenger personas, design a home and global navigation that prioritize what’s needed next, use AAOS UI kits to prototype flows like “navigate to a fuel station,” and run simulator-based usability testing with task success and glance-time metrics.
In Designing Core Apps & Features (Module 4), you’ll translate patterns into production flows: media that respects audio focus and system media center rules; navigation with voice-led search, clear route options, and cluster/HUD turn-by-turn; climate that balances Auto with quick overrides; and communication/notifications that are voice-first and non-intrusive.
Finally, Advanced Topics & The Future (Module 5) covers personalization & profiles (including digital keys), rich passenger experiences and multi-zone control, safety-critical cluster/HUD design, the business of automotive UX (OEM branding and AAOS certification), and what’s next—V2X, assisted driving handovers, and AI-powered assistants. By the end, you’ll have checklists, patterns, and test workflows to ship brand-true automotive experiences that drivers trust—and OEMs can certify.