AI Product Design · 2024–2025 · Honda Motor Co.
Personalizing driver education with AI to halve traffic fatalities by 2030.
This is an internal Honda Motor Co. product. Final UI screens are confidential — this case study covers my design process, research, and decisions rather than the finished interface. Happy to walk through it in detail during a conversation.
3 months
GenAI Engineer & UI/UX Design
Overview
A comprehensive AI-powered driver education platform that personalizes safety training through psychometric profiling and adaptive AI instruction. Designed and built an end-to-end experience spanning 19 screens — from registration and DSQ personality assessment through AI-generated curriculum, interactive lessons with a conversational AI instructor, to e-certification.
The Problem
Traditional driving education uses a one-size-fits-all curriculum that fails to address individual risk profiles. Aggressive drivers receive the same training as cautious ones. Meanwhile, instructor shortages — especially in low- and middle-income countries — limit access to quality safety education.
Research & Discovery
Driving Style Questionnaire (DSQ) — psychometric framework for risk profiling across 9 traits
Existing driving school curriculum analysis — gap identification
UX audit of legacy system — 8+ critical usability issues documented
Stakeholder alignment — Honda Safety Department, management, and learner needs
Key Insight
“The biggest UX challenge wasn't the AI — it was trust. Learners needed to trust an AI instructor enough to engage honestly with their driving weaknesses.”
Design Process
UX audit — documented critical usability failures in the legacy system
19-screen user journey: registration → DSQ → curriculum → AI lessons → certification
DSQ results page with radar chart visualizing 9 personality traits
AI instructor chat interface with source citations grounding every answer
Comprehension checks with supportive, non-punitive feedback
Celebration micro-animations for lesson and course completion
Critical Pivot
The original lesson page auto-played audio with no pause control, had invisible progress bars, and showed white text on white backgrounds. The UX audit revealed 8+ critical issues. The entire experience was redesigned from scratch rather than patching the existing system.
Results
15% improvement in safety awareness (Likert-scale surveys)
Production-ready system deployed for driving school use
Co-authored conference paper at NLPIR
Largest improvements for aggressive and risk-prone driver profiles
Reflection
“Designing AI-powered experiences is fundamentally about designing trust. Celebration, encouragement, and clarity aren't nice-to-haves — they're essential for behavior change.”