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Thesis Project

OnGen Radio 2026

Reimagined Radio in Augmented Reality

Year
2026 / Apr
Type
Thesis, AR, Service, Platform, UI/UX
Duration
6 Months
Status
Online · Published via Firebase
Radio 2.0
Radio for the world is everywhere.
Where's the radio for you and your community?
YourFriends.hzYourPeers.khzYourNeighbors.mhzYourColleagues.hzYourCommunity.khzYourCity.mhzYourCulture.hzYourScene.khzYourWorld.mhzYourFriends.hzYourPeers.khzYourNeighbors.mhzYourColleagues.hzYourCommunity.khzYourCity.mhzYourCulture.hzYourScene.khzYourWorld.mhz

Daytime Preview

Daytime — Wearing View

Nighttime Preview

Nighttime — Wearing View

Meta Google Apple Rokid RayNeo
Meta Google Apple Rokid RayNeo
Seek
Personalization
KPIs
(Projected · April 19, 14:00 – May 11, 17:00, 2026)
408 Sessions
147Test Users
(Guest 121 / Registered 26)
34.6%
Personal Podcast Adoption (9)
35.6Sec
Interaction Median
2.4Sec
per interaction
Timeline
Sep 8, 2025 – Apr 20, 2026
6 Months · 28 Weeks · Phase I + II
Gate 1 · Phase I Research
Thesis Foundation
Digitalize the Physical World
  • Thesis Statement — Design is not a fixed result
  • Guiding Research Questions — AR Ecosystem / Context / Hybrid Experience
  • Case Study Analysis
  • Technical Research
Gate 2 · Phase I Systems
Artificial Ecosystem
Physicalize Digital Experience
  • Concept Framework — Ecosystem Thinking
  • Market Opportunity
  • Thesis Direction — Signals
  • System Mapping
Gate 3 · Phase I Interaction
HAX Repositioning
Artificial Ecosystem & Human-AI Experience
  • Perceptual Mapping / Brand Positioning
  • User Flow — Journey Mapping
  • Service Scope Setting
  • Technology Selection — Gemini 3.1 / ElevenLabs / Firebase
  • Benchmark Analysis
Gate 4 · Phase II Prototype
Technical Feasibility
Audio Layer & Artificial Ecosystem
  • Validation I — Peer Critique [20] · Internal Pilot
  • Business Model Sketch
  • User Engagement — UAT · KPIs
  • Theme / Pitch
Gate 5 · Phase II Management
Design Management
AR & Audio Digital Layer
  • Service Blueprinting — Feasibility Test
  • Decision-Making Framework
  • Prototypes I & II
  • Data Pipeline — SQL / Technical
  • Branding · Essence · Attributes
  • Video Making
Gate 6 · Phase II Publication
General Level · Pre-pilot
OnGen Radio 2026
  • Validation II — Closed Pilot [50–100]
  • Design Audit Process
  • Prototype III · Platform Stabilization
  • Visual Brand Language
  • Marketing Strategies
User-Centric Context
and AR Device Integration
Recreating Physical interactions
in Digital Environments
Hypothesis
  1. 01 Location-based discovery will integrate naturally within an AR environment.
  2. 02 Utilizing a radio-style format will boost engagement within the AR interface.
  3. 03 Micro-interactions will extend user dwell time and session duration.
Value Shift
01
Technology & Data
Enterprise data, cloud, and infrastructure providers that supply the substrate for any AI service running on top.
02
AI Services
Foundation-model providers and Toronto-anchored AI labs that supply intelligence, reasoning, and generation to the platform.
03
Data Security
Identity, endpoint, and network security vendors safeguarding personal data, broadcasts, and the autonomy stack.
04
Physical Robotics
Humanoids, autonomous vehicles, drones, and warehouse robots — the embodied agents that consume the local radio signal.
05
Legal & Regulatory
CRTC, privacy commissioners, transport, and cyber authorities — the institutional perimeter inside which the platform operates.
Total Addressable Market
Where location meets intelligence
CAGR
Geospatial Analytics 2025 – 2030
0%
Growth

Location-based services are reshaping retail, logistics, and smart cities — the substrate for every location-aware AI experience.

Geospatial Analytics Market Report · grandviewresearch.com/industry-analysis/geospatial-analytics-market
Market 2030
$0B
Geospatial Analytics by 2030
Market 2024
$0B
Baseline Market Size (2024)
Serviceable Addressable Market
AR glasses + audio AR
CAGR
AR Glasses 2025 – 2030
0%
Growth

Led by Apple and Meta, the AR glasses market is maturing, while audio-based AR apps are still an emerging sector.

AR Glasses Market by 2030 · marketsandmarkets.com/Market-Reports/ar-glass-market-130690160.html
AR Hardware Users by 2030 · statista.com/outlook/amo/ar-vr/augmented-reality/worldwide
AR Users
0M
AR Hardware Users by 2030
AR Market
$0B
AR Glasses Market by 2030
Serviceable Obtainable Market
AI in social media
CAGR
AI in Social Media 2025 – 2033
0%
Growth

AI-driven content, targeting, and predictive analytics power the social and audio apps where OnGen Radio captures share — the closest, most addressable slice.

AI in Social Media Market Report · grandviewresearch.com/industry-analysis/ai-social-media-market-report
Market 2033
$0B
AI in Social Media by 2033
Market 2024
$0B
Baseline Market Size (2024)
Stakeholder Map
RACI orbit across the OnGen ecosystem
Stakeholder Map
R — Responsible A — Accountable C — Consulted I — Informed
Feature LeadGo-to-Market Lead3D Environment DeveloperEarly Adopter
User Research AnalystCompetitive AnalystGeospatial Data SpecialistAccessibility User
Interaction DesignerProduct Marketing ManagerAR SDK IntegratorCommunity Member
Spatial UI SpecialistRevenue StrategistAcoustic EngineerTourist / Visitor
Prototyping LeadTechnical Program ManagerVoice UI DesignerRegular Commuter
AR Interface DesignerAPI Governance LeadSpatial Audio EngineerPrivacy Audit Reviewer
Local Events CoordinatorPlatform ArchitectGeofencing AnalystTelecom Regulator
Regional Story EditorRegional Partner ManagerGPS Accuracy TesterLocal Government Liaison
Multilingual CuratorData Licensing NegotiatorReal-time Data Feed ManagerData Sovereignty Officer
Community ContributorEcosystem BuilderContextual Trigger EngineerInnovation Policy Advisor
Journey Mapping

Three personas, three trajectories. Each map pairs the traditional journey grid with the actual emotional arc — projection versus what the research surfaced.

From passive feed consumption to active participation.
Persona 01 · Urban Explorer

A linear narrative of how Maya moves through the OnGen ecosystem — from the first ambient encounter to leaving voice notes that loop back into her neighborhood's stream.

Tune In
Context Sync
Ambient Flow
Co-Broadcast
Pain Point
Overwhelmed by apps, feeds, and notifications fighting for her attention during every walk.
Unsure how much of her context, location, and preferences she should share with an AI system.
Most recommendations feel generic; she keeps missing events that were actually close by and relevant.
Rarely contributes to the platforms she uses — feels there's no audience that would actually care.
Context
Marketing · First Encounter
Onboarding · In-App Setup
Daily Use · Urban Context
Engagement · Network Loop
Feature
A personal radio that already plays when she arrives — no queries, no scroll.
Transparent consent layer: what data is used, where it's processed, how to revoke it.
Context-aware AI curator translates time, place, and interest into a living audio stream.
Voice reactions and short broadcasts loop back into the community stream in real time.
Reaction
"Is this a podcast? Why does it already know my block?"
"Okay — I actually understand what it's learning from me."
"I hear about things I'd never have searched for."
"I left a voice note and heard my neighbor answer."
Phase
Discovery
Engagement
Empowerment
Participation
Emotional Arc · curiosity → trust → comfort → belonging
Projection Actual
Latent Curiosity Learning Process Internalization Post-usage
From fragmented outreach to unified neighborhood broadcasting.
Persona 02 · Community Connector

A linear narrative of how Jordan consolidates Slack, IG, posters, and word-of-mouth into a single ambient broadcast layer for Kensington Market.

Broadcast
Community Sync
Event Engine
Culture Loop
Pain Point
Flyers and posters get buried by city noise — his weekly events reach fewer people than his Slack has members.
Managing Slack, IG, newsletters, and printed posters splits his outreach into five disconnected streams.
Event turnout is unpredictable; members miss announcements posted in the wrong channel at the wrong time.
No shared broadcast layer exists for the block — Kensington's identity gets diluted by platform algorithms.
Context
Marketing · Word of Mouth
Onboarding · Community Setup
Daily Use · Event Management
Engagement · Culture Network
Feature
A neighbourhood audio channel that plays in local venues — his events reach ears without a single post.
One-tap event push that syncs across ambient audio, notification, and in-venue broadcast simultaneously.
Real-time turnout pulse shows who's nearby and engaged — data he used to guess from a headcount.
Community voice stream where regulars leave audio notes — building a living archive of the block.
Reaction
"Wait — people at the coffee shop already know about Thursday's open mic?"
"I connected the space once. Now it just knows what we're hosting."
"Twenty people came because the broadcast hit them while they were walking past."
"Someone left a voice note thanking the block. We've never had that before."
Phase
Awareness
Adoption
Orchestration
Stewardship
Emotional Arc · skepticism → efficiency → clarity → ownership
Projection Actual
Latent Needs Learning Process Internalization Post-usage
From evaluating audio-AR devices to a persistent ambient intelligence layer.
Persona 03 · AAR Pioneer

A linear narrative of how Alex embeds OnGen as an ambient computing layer across glasses, phone, and watch — replacing visual AR overlays with a proactive audio interface.

Device Pair
Ambient Sync
AI Layer
Interface Fade
Pain Point
Visual AR overlays demand constant eye attention — clunky, battery-draining, and focus-breaking by design.
Every voice assistant she tests sits dormant until explicitly called — no proactive ambient intelligence layer.
Context is always manually entered: location, schedule, preferences — nothing reads the environment on its own.
No unified bridge connects her AR hardware to AI software — the experience always feels stitched together.
Context
Marketing · Device Discovery
Onboarding · Hardware Pairing
Daily Use · Ambient Computing
Engagement · Workflow Integration
Feature
Instant smart-glasses pairing — OnGen detects her Meta Ray-Bans and begins ambient audio without a setup wizard.
Zero-input context engine reads location, time, movement, and calendar to compose a relevant audio stream.
Proactive AI curator surfaces information at the right moment — audio fades in without interrupting focus.
Persistent ambient layer spans glasses, phone, and watch as one unified auditory interface.
Reaction
"It recognized my Ray-Bans in three seconds. No app, no wizard — just audio."
"I didn't configure anything and it already knows I'm heading to the Distillery."
"A gallery opening whispered into my walk. I would've scrolled past it on any screen."
"This is the ambient AI layer I've been prototyping in Figma. Someone built it."
Phase
Evaluation
Integration
Immersion
Advocacy
Emotional Arc · intrigue → validation → immersion → conviction
Projection Actual
Latent Needs Learning Process Internalization Post-usage

Entity Diagram

Fourteen entities across three service components — Regional Intelligence Hub, Community Radio, and Personal AAR. Pulses trace the live data flow: signal capture → AI synthesis → broadcast → listening → behavioural feedback, closing the loop back into the model.

14 entities 17 relations stack Firebase · Gemini · ElevenLabs
Regional Intelligence Hub · B2R
LocationSignalentity · geo + ts
ContextSnapshotentity · summary
RegionalHubentity · scope
AIProcessorservice · Gemini 3.1
Community Radio · B2B
Userroot · auth
Preferencesentity · interests
Scheduleentity · time_slot
Channelentity · freq
Postcore · text
Reactionentity · type
AudioBroadcastcore · ElevenLabs
Personal Radio · AAR · B2C
ListeningSessionentity · mode
ARLayerspatial · 360°
Playlistderived · AI
BehaviouralLogtelemetry
ConsentScopegovernance
feedback · behavioural signal retrains AI
primary key foreign key attribute one · many governance / feedback active in sequence
Interaction Overview