Project Overview

I supported a long‑term Human Factors study focused on understanding AR/VR wearable fit across a diverse range of physiologies. The goal was to build a comprehensive dataset that would inform future headset sizing, comfort, and SKU strategy.

My Role

• Ran structured in‑lab sessions with participants across varied head shapes and facial geometries

• Collected biometric and anthropometric measurements following Human Factors protocols

• Conducted short comfort and fitment interviews focused on pressure points, slippage, and long‑term wearability

• Collaborated with HF researchers to ensure consistency in data capture and participant handling

Methodology

• Biometric and anthropometric measurement collection

• Guided comfort and fitment interviews

• Longitudinal data capture across multiple sessions

• Collaboration with Human Factors and hardware engineering teams

Impact

The dataset helped the team determine SKU configurations that maximized fit across a broad population while reducing manufacturing complexity and cost. The findings also informed early comfort guidelines and contributed to future hardware sizing decisions.