
Lead Visual Designer
Google Maps Automotive

Our approach was to first apply the future navigation project baseline in the cluster. We then ran user studies and used this insight to explore new ideas to create an ideal cluster experience. After we created a proposal to share across teams and get feedback that informed the next iteration of projects.



We evaluated user impressions of the designs in the instrument cluster, examined how users interpret lane information while driving and synthesized the identified problems.

We created six concepts, exploring ideas that would challenge current Maps elements and create an elevated and modern experience in a vehicle.


Information would be optimized across displays offering different levels of detail where you need it, when you need it, and fine tuned to the driving experience.


Information will surface between the displays to help drivers assess key details during navigation. Core nav info shows in instrument cluster at a closer zoom with the center console showing route overviews with greater route detail. This supports distracted driving rules, makes it easy for drivers to assess their surroundings and see the right level of details when necessary.
I worked with a motion designer to animate my visual explorations. The instrument cluster shows a closer view, highlighting important maneuver moments while the center console shows a top down overview of what is to come.

The center console camera follows a similar behavior as used on mobile but staying more zoomed out to allow details that are further away to be seen.
Adjusting the zoom and tilt levels in the instrument cluster provide a perspective angle that feels more natural in front of the driver and allows greater detail of road markings with beacons for wayfinding.


I first explored the functionality of the turn card. Building on the released adaptive turn card, I explored how it could respond to driving moments, emphasize lane guidance and incorporate alerts, such as a faster route option.
Functionally I also explored card stacking models shown in these motion examples.
Visually, I explored updating the highlight color, emphasizing the turn and lane guidance and the addition of trip progress bars.

In hopes of future technological advances we studied lane-level localization. The turn card would show the total number of lanes and their geometry, indicate the current vehicle lane and, when nearing a turn, highlighting the correct lane for the maneuver. This would help to simplify complex intersections and chained maneuvers. This technology would unlock HOV lane detection.


I explored many options for how to convey the new functionality of the chevron as well as how it would move in between these different states.



A futuristic exploration into continuous lane guidance which would utilize a lane aware polyline. This guidance would provide ongoing assurance to the driver that they are in the correct lane and prepare them for upcoming maneuvers.
This would require vehicle integration which is not a current feature.



I first experimented with the visual look and feel of the chevron. The goal was to validate the rationale behind its shape and color. I systematically tested possibilities showcasing a series of options ranging from a basic color update to a completely new design.




Functional explorations show how we could use visual states of the chevron to communicate how precise it knows your location within the lanes. This would help convey to the driver to rely less on it due to technical difficulties.

I explored many options for how to convey the new functionality of the chevron as well as how it would move in between these different states.

Motion explorations show real time interaction of the chevron. We explored initial localization, the transition into higher accuracy of location and a customization option to include a real 3D model of a car.




The cluster map should only display essential navigation and wayfinding information to maintain legibility. This approach strikes a balance between providing necessary details and ensuring a clear understanding of upcoming turns.
This project springboarded the Auto team into conversations about the future of Auto Embedded Maps. With this project we were able to come to conversations with a research backed opinion instead of forming our product to fit others ideas. We presented this to the head of Auto Design and got positive feedback all around. The next iteration of this project began with a system wide feature addition where the team was able to lead the conversation across Google, pulling from this research and explorations we had done.

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