Alexa for HMI Smart Vehicle

Design System and Pattern Library
My Contributions
Pattern Library
Token/Variable Organization
Component Library
Project Overview
This project aimed to assist in OEM delivery by establishing global design patterns to ensure consistency across the platform. By addressing gaps like voice interactions and Drive Distraction Optimization (DDO), we introduced shared patterns and updated guidelines to improve usability.

Vehicle HMI Pattern Library: Scalable Solutions for OEMs

The goal of this project was to establish global design patterns that enhance the user experience and ensure consistency across the platform. By addressing previous gaps, such as voice interactions and Drive Distraction Optimization (DDO), we improved the overall experience through new shared patterns and updated design guidelines for better usability. Standardizing design principles and patterns across the platform ensured that every feature and interface element adhered to the same guidelines, reducing the risk of fragmented or disjointed user experiences. Additionally, we established a standardized process for delivering design requirements from PMs and OEMs, preventing design forking in the future.
Part 1: Assessment
Assessment of the feasibility of implementing global design patterns and, if deemed viable, defining the strategic approach for execution.
Part 2: Validation
Validate the approach by developing and implementing four or more global design patterns through to completion.
Part 3: Organize & Structure
Structure the scope of global patterns into a clear and cohesive set of categories for better organization and alignment.
Enhanced Design Library and Usage Guidelines
We provided clear guidelines and specifications on the proper usage of each component, ensuring consistency and efficiency for OEMs and third-party developers.
Continuing Collaboration
Our work on the One-Message Co-Pilot Notification System built strong trust, leading to future collaboration on a smart status bar concept. Designed to enhance safety and minimize user engagement, the system is non-intrusive, and auto-dismisses to minimize disruption and screen usage.

Variable Token System

This project extension focused on validating the variable token system by theming several layouts into two extreme use cases for one OEM. The objective was to demonstrate the system's scalability by developing a tokenized framework that could be seamlessly applied to any vehicle with minimal adjustments to the primitive and semantic variables across the platform.
Problem
Without token connections, all alias tokens are rendered ineffective. As a result, their system lacks scalability and cannot support theming without requiring a complete rewrite for each new theme.
Solution
By implementing a multi-collection system with simplified alias tokens, we enhanced scalability and theming efficiency. This approach allowed us to successfully validate a sample set of layouts using an updated token system, ensuring full adaptability and seamless theming.
Other works
GIA BeaconHCA HealthcareLumeFord VR 360KRONK BoxingEY ConvoCoach™