Pilot UI for Supervised Autonomous Rotorcraft
2022-2023 | Product Designer, Advanced Programs
Project Overview
As part of Bell's Advanced Programs team, I was tasked with developing a new user interface layout for pilots operating supervised autonomous rotorcraft- aircraft designed to fly with reduced pilot workload while retaining human oversight for mission-critical moments. The project required balancing trust in autonomy, situation awareness, and interface clarity for a new category of cockpit experience.
The Challenge
How might we design a flight deck UI that supports pilot confidence in autonomous systems, ensures safety, and provides clarity during high-pressure mission states, without overwhelming the user with data?
My Role
Collaborated closely with flight test pilots, avionics engineers, and the autonomy team
Conducted research on pilot mental models, workload thresholds, and existing UI norms
Led wireframing and layout iteration for primary displays
Prototyped interactive screens and supported user testing with simulated flight scenarios
Worked with aerospace constraints (latency, redundancy, fail-safes, standardization)
Outcome
Delivered a modular UI framework that balances autonomy feedback with pilot control
Validated through internal testing on usability, readability, and information flow
Laid groundwork for future autonomous systems integration across Bell platforms
Project strengthened Bell's approach to human-machine trust in next-gen rotorcraft
Initial inspiration for wireframing
Everyone starts somewhere, initial wireframe sketches
In context example
Example flows for "flying via points" vs "by knobs" and a landing scenario