Google Maps (Concept)

AR Navigation For Public Transit

AR Navigation For Public Transit

Guiding tourists through unfamiliar transit systems with clarity and confidence

Project

Google Maps Concept

Responsibilities

UX Research, UX Design, Interaction Design

Timeline

3 months

Device

Mobile App

Ever Feel Completely Lost navigating the NYC subway system?

Public transport is essential in major cities, yet for visitors, it can feel overwhelming. In New York City, newcomers often struggle with complex transfers, uptown vs. downtown decisions, and frequent delays. Something essential to exploring a city suddenly feels like a daunting task.

Signs and symbols hold different meaning in different context

Travelers interpret new transit systems through existing mental models and when structures differ, confusion and errors increase.

NYC Subway
Tokyo Metro
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Directional label assumes local knowledge

First-time subway users can easily misunderstand directional signage, and when mistakes happen, the system provides no easy recovery — resulting in avoidable time loss, and a frustrating experience. This makes clarity at moments of transition critical.

Let's look at a visitor's travel log to understand why

I couldn’t find anyone who could point me to the green line. I just got confused looks. Wait… do the colors even matter here?

Wait… this is the wrong entrance?

Now I have to exit and pay again?

Great. I’m definitely going to be late.

Okay, I’m at the right station… I think.

I can catch the 6 train here to get to Grand Central…

I’m finally on the 6 train…

Why isn’t it stopping at my station?

Am I on the express?

I couldn’t find anyone who could point me to the green line. I just got confused looks. Wait… do the colors even matter here?

Okay, I’m at the right station… I think. I can catch the 6 train here to get to Grand Central…

Wait… this is the wrong entrance? Now I have to exit and pay again Great. I’m definitely going to be late.

I’m finally on the 6 train… Why isn’t it stopping at my station? Am I on the express?

I couldn’t find anyone who could point me to the green line. I just got confused looks. Wait… do the colors even matter here?

Wait… this is the wrong entrance?

Now I have to exit and pay again?

Great. I’m definitely going to be late.

Okay, I’m at the right station… I think. I can catch the 6 train here to get to Grand Central…

I’m finally on the 6 train… Why isn’t it stopping at my station? Am I on the express?

Visitors want to focus on exploring the city, not on costly detours and delays

Visitors want to focus on exploring the city, not on costly detours and delays

Visitors want to focus on exploring the city, not on costly detours and delays

We selected AR-based navigation after a thorough review of multiple solutions

Since we lack the agency to redesign NYC’s physical infrastructure we leveraged AR to bypass the "interpretation tax" entirely. By mapping navigation directly onto the user's field of vision, we eliminate the friction of decoding cryptic symbols and navigating unfamiliar places. For a tourist, it is an overlay on top of the real world, turning a chaotic transit hub into a self-guiding interface.

AR Navigation For Public Transit

Final concept to help tourists traverse unfamiliar public transport systems

Eliminate direction guesswork

AR signage highlights Uptown and Downtown entrances before riders enter the station, helping them choose the correct entry point and avoid unnecessary platform changes.

Navigate the station with confidence

The app guides tourists step by step through the station, helping them reach the correct platform without deciphering lines, numbers, or color systems.

Predicting the best boarding spot

Real-time crowd insights guide riders to optimal waiting areas on the platform, improving their chances of boarding quickly and comfortably.

Other concepts to support travelers

Share Custom AR Routes

Users could share private AR navigation links to help others find hard‑to‑reach or hidden locations.

AR Photo Map for Cultural Discovery

Photomaps could help tourists instantly understand an area through shared photos, revealing what it’s like before they arrive and enriching the Google Maps experience.

Looking Back, Moving Forward

Designing beyond the first idea: By detaching from our original concept and focusing on validated user needs, we arrived at a stronger, research-backed solution. This approach enabled us to seamlessly evolve AR navigation within Google Maps, connecting it to personal sharing, local guides, and memory-driven AR layers.

Designing within a complex system: Introducing new capabilities into a sophisticated ecosystem like Google Maps required careful restraint to avoid experience rot. While the concepts were valuable, discoverability, especially for AR-dependent features, could have been stronger. A holistic AR-centered redesign might have created a more seamless and intuitive entry point.