Edge AI for Mission-Critical HMI
The WING Intelligence Platform is the foundational Edge AI command center for the WING ecosystem. By engineering local, on-device intelligence for HMI controls, ensuring transparent data governance, turning the mobile and wearable apps into trusted training hub for next-generation performance and safety.
HMI
AI
Project Overview
Research
Phase 1: Research
Users universally distrusted cloud-based AI for private data
Control over the data footprint was non-negotiable.
Control over the data footprint was non-negotiable.
Phase 2: Comparison
Existing systems are slow, fails to prioritize real-time data and decision making, often adding cognitive load.
The most significant delay was in driver's visual scan time and cognitive effort required to interpret real-time dashboards.
Phase 3: User needs
The interface must clearly articulate why it is making a recommendation (AI Confidence Score) and what data it is using.
Users must be have control over the AI model, including its training and data consumption, ensuring a sense of ownership, not surveillance.
Design Phase
Edge AI Settings
Allow users to toggle features like Local AI Training through a dedicated privacy screen.
This directly addresses the core privacy fear identified in user research, translating the technical architecture into a tangible, trust-building user control.
Real-Time Dashboards
Designed a specialized dashboard for visualizing time-series data, AI Confidence Scores, and a simplified, color-coded status system.
Real-time visualization tools for interpretation of AI outputs, we reduced the cognitive load and visual scan time drivers needed to process information.
Ecosystem Flow
Design an explicit Separation of Data Streams to distinguish between Sensitive, Locally Trained Data (conversational history, specific routes, preferences) and Generalized, Cloud-Updated Data (new map data, software versions)
We established three Human-AI Interaction (HAII) principles: Transparency , Control, Efficiency
Phase 2



Phase 2
Phase 3
Phase Evaluation
The WING Intelligence Platform successfully solves the AI mobility dilemma. It proves that the future of intelligent mobility is not a trade-off: zero-latency performance and absolute data sovereignty are now non-negotiable standards.
Next Step
Future phases focus on refining the Ecosystem Flow by integrating the WING AI framework into the Watch App for zero-latency, mission-critical alerts

