Crisis-Courier-UAV

Overview

Delivering critical supplies when every second counts

Crisis-Courier-UAV is a high-performance drone system designed to deliver medical supplies, food, and communications equipment into disaster zones inaccessible to ground vehicles. Optimized for turbulent and low-visibility conditions, the system integrates advanced navigation and payload systems with a human-centered ground control interface.

This project applied human systems engineering principles to balance automation with operator judgment — ensuring the interface actively reduces cognitive load during high-pressure disaster response scenarios.

System context — disaster zone delivery scenario

Challenge

Balancing automation with human judgment

Reasons for Automation

Precision & Stability

Automation provides high accuracy, constant monitoring, and multitasking — critical for UAV stability, precise navigation, and processing sensor data in real-time.

Human Workload

Tasks that are tedious, repetitive, or dangerous — like UAV management, stability control, and flight path monitoring — are better handled by automation.

Function Allocation

Automation excels at:

Flight operations and path control
Data processing and sensor fusion
Repetitive monitoring cycles
Resource management and logistics

Human operators excel at:

Decision-making under uncertainty
Judgment and problem-solving
Team coordination and communication
Situational awareness and adaptation

Function allocation diagram — human vs. automation tasks

Function allocation — human vs. automation

Needs

Operator display & alert design

Visual Display — Cargo Status

To visually confirm that the package has been successfully dispatched from the UAV. A green checkmark icon appears on the display, accompanied by a confirmation message stating “Package Dispatched” along with a timestamp. Yellow colour displays cargo delivery in process.

Cargo status display — dispatched confirmation

Auditory Alerts

Collision Warning

Notifies when the UAV is at imminent risk of colliding with the ground or an obstacle. A distinct, abrupt sound conveys urgency — adhering to key principles of attention, perception, and memory to enhance safety during operations.

Low Battery Warning

Provides regular updates on the UAV's battery level. A recurring low-frequency tone accompanied by a verbal announcement of battery percentage (e.g., “Battery at 30%”). Design follows key principles of attention and perception.

Situational Awareness

All operator displays have mechanisms to increase situational awareness through integrated chat functionality, enabling operators to communicate in real-time during missions.

Pilot view

Navigator view

Mission Initiation Alert

Designed to efficiently deliver critical supplies to disaster-affected regions. A concise, attention-grabbing tone followed by a robotic voice stating “Package dispatched from UAV” provides clear auditory feedback.

Autopilot Alert

Notifies the operator when the autopilot system is activated or deactivated. A blinking red indicator light signals the change, supplemented by a dynamic label — AUTOPILOT ON (green) and AUTOPILOT OFF (red).

Autopilot status indicator

Workstation

UAV Workstation Demo

The complete workstation interface brings together all operator displays — pilot view, navigator view, cargo status, and alert systems — into a unified ground control station optimized for disaster response operations.

Full UAV workstation dashboard — ground control station

Complete UAV ground control workstation

Mission planning interface

Results

Lower load, higher capacity, zero critical errors

Simulation testing against a baseline interface showed substantial improvements across all measured dimensions. The 52% reduction in NASA-TLX cognitive load score was the primary target metric.

"With our new visual identity and design language, the updated UAV Crisis Courier brand powerfully reflects the urgency, precision, and compassion that define both our mission and stakeholders — from frontline responders and healthcare providers to the communities. It captures the essence of our current and future impact, your dedicated team, and the values that drive us to deliver when it matters most."

— Jamie Gorman, Foundation Human System Engineering, Professor, Arizona State University

Constraints

Safety-critical design under a semester deadline. Every cut had to be intentional.

Designing for disaster-zone operators means the stakes of a bad UI are not just frustration — they're operational failure when it matters most. But this was also a semester sprint. The constraint was real: design something that a first responder could pick up under cognitive load, in a simulation environment, with zero training. Not ideal conditions. Not unlimited time. Just the constraint, and the work.

The triangle: I picked Time + Quality. Scope was fixed at the MVP boundary.

The NASA-TLX cognitive load score was my quality target — 52% reduction wasn't arbitrary, it was the benchmark between a usable tool and a liability in the field. To protect that target, scope was locked: single-drone delivery management, emergency escalation, and clear status communication. Multi-drone coordination and advanced route optimisation were documented as V2 and dropped.

Finding Assumptions Through HFE Literature

No access to real first responders. So I built on Human Factors and Ergonomics research — specifically cognitive load literature, military UI principles, and published studies on emergency dispatch interfaces. The assumption was simple: if it works under high cognitive load in analogous safety-critical domains, it'll work here. AnswerGrid helped synthesise research faster than manual reading. The simulation testing validated the assumption: zero critical errors.

What Got Cut and Documented

Multi-drone coordination views, predictive route optimisation, and a detailed mission debrief screen were all designed in wireframe and then cut. In safety-critical design, feature additions under time pressure are liabilities — every new element is another thing an operator has to process at 2am in a disaster zone. V1 shipped with single-drone focus. Everything cut was handed off as a spec with clear success criteria for when to add it.

Prototyping for Cognitive Load, Fast

Testing cognitive load requires working prototypes — not sketches. Figma Make helped generate high-fidelity simulation states rapidly so we could run NASA-TLX testing earlier in the sprint than normal. Claude Code helped prototype the status escalation logic interactively. Getting to testable fidelity faster meant more test cycles, which meant the 52% load reduction was evidence, not a claim.

"In disaster-zone design, the most important feature is the one you didn't add — the thing that would have cost an operator a second when seconds count."

Reflection

Safety-critical design leaves no room for ambiguity

Cognitive Load Is Life-Safety

Every extra click, every unclear label becomes a liability in a disaster zone. The 52% load reduction wasn't just a metric — it was the entire design goal.

Hierarchy Over Density

The instinct was to show everything. The insight was to show the right thing at the right time. Progressive disclosure and alert prioritization were the core patterns.

Human Factors Is UX for Extremes

MIL-STD-1472 standards and aerospace UI conventions taught me more about fundamental usability than any consumer app project.

Automation Requires Trust

Designing the autonomy dial was as much philosophical as it was UX. Users needed control without overwhelm — a balance requiring research and iteration.

Conclusion

The redesign effectively resolved key usability challenges, resulting in a faster, more intuitive experience for emergency responders.

The enhanced UX/UI not only improved operational efficiency but also boosted adoption and trust among field users — highlighting the life-saving impact of thoughtful, human-centered design in critical delivery systems.

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Advanced navigation · Optimized payload delivery · Designed for turbulence & low-visibility conditions