Aerobloom
Conversational AI
Prototyping
XR Design
UX Research
Overview
Aerobloom is a speculative but research-backed product-service ecosystem designed to reimagine self-regulation for people with COPD. It uses an AI-powered digital twin, a smart inhaler, and a companion coaching app to shift care from reactive to proactive, helping users stay ahead of their condition.
MENTOR -
CONSTRAINS -
The Problem
The management of COPD is a disconnected system where patients are burdened by the constant anxiety and stigma of their condition, while clinicians are forced to make critical decisions with fragmented data—making proactive, preventative care nearly impossible for either.
What is COPD?
COPD is a condition where the lungs become damaged and the airways narrow, making it hard to breathe and exchange gases efficiently.
The Vicious Cycle of
Chronic Obstructive Pulmonary Disease (COPD)
The Solution
Our solution is a fully integrated product-service ecosystem that combines a smart inhaler for passive sensing and medication delivery, a Digital Twin for predictive modeling, and a supportive AI Coach that translates complex data into simple, proactive guidance.
Mapping the Care Ecosystem
To find the right intervention points, we first mapped the complex web of actors, devices, and information flows that define a patient's daily reality.
Logic of the Intervention
The system works in a simple feedback loop: it collects data, uses a digital twin to synthesize and predict, and provides clear guidance to the user.
Ecosystem in Action
Aerobloom is more than an app; it is a cohesive ecosystem of devices that work in concert. The experience adapts in real-time to the user's health, providing a seamless flow of information and guidance across the mobile app, smartwatch, and the smart inhaler itself.
The Stable State
Calm
Ambient Awareness
The default state provides calm, ambient awareness, keeping the user informed with a reassuring "Stable" status and gentle reminders, not disruptive alerts.
The Caution State
Gentle
Proactive Nudge
When an early warning sign is detected, the interface provides a proactive nudge, offering context-aware guidance for an early intervention that is seamlessly logged by the system.
The Action State
Direct
Critical Guidance
As the final safety net for a severe flare-up, the interface enters a direct command mode, providing a clear action plan and a one-tap path to professional help.
Sensor
A Discreet, Calming Presence Stable State
Calm
Ambient Awareness
An Attentive, Physical Cue
Gentle
Proactive Nudge
An Unambiguous Emergency Tool
Direct
Critical Guidance
The Intelligence Inside
Reflection and Learning Over Time
The Trends dashboard helps users see the direct connection between their actions (like activity or inhaler use) and their health outcomes.
Proactive Guidance for the Day Ahead
The Prediction: The Digital Twin identifies a pattern suggesting a high risk of a flare-up in the evening.
The Intervention: It recommends a proactive dose in the afternoon to stay ahead of the risk.
The Outcome: The user is guided along a stable path, successfully averting the predicted dip.
Wearable
Digital Twin
Predictions
App
At-Home Experience: Charging & Refills
Projected
Impact
Human Impact
A Renewed Sense of Control
Clinical Impact
From Reactive to Proactive Care
Systemic Impact
Reducing the Burden on Healthcare
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2025 • CHAITANYA LANDGE
Built with empathy, curiosity, and the sunlight that reminds me to pause.
Designing from
SAN FRANCISCO , CA
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