Designing a safer, more efficient ride-share experience.Get The Process BookSkip to The Final Product
Indigo Design Awards
Gold: (Branding) Electronics
Silver: (Mobile Design) UX Interface/ Navigation
Silver: (Mobile Design) Mobile App
Bronze: (Branding) Technology
Bronze: (UX Design) UX Interface/ Navigation
I worked on primary research like the in-Uber interview, collecting swabs of car interiors, and making interview and survey questions.
I also handled all of the in-vehicle raytracing simulations and LiDAR scanning.
All team members worked on ideation and affinitization together. I helped refine the solution and helped decide overall direction
FOrms + Function
I was on a sub-team with Nico: he was the "forms" half, and I the "function". He handled all of the fabrication, including model-making and the final prototype. I wrote all the code, prototyped the electronics, and fit them in the form he made. In the end, we had a comprehensive, fully-functional prototype.
I directed the Vision Video and presented the final presentation.
Our hero product is a smart-lamp named ABUV.
We also discovered a use case that may require more than a single point of radiance, such as an SUV. For these users, we made a smaller, more modular solution we call NODE.
Many of our users were concerned about bathing in UV light. Here's why we chose to prototype for this technology:
This vision video was a lot of fun to make. In ideation, we started by setting the goal to show, not tell. We follow the journey of James (played by team member Charlie) as he goes across the city for his ride share job.
We wanted this to be a solution for both during and after the Pandemic, so in this vision video we chose not to wear masks. All actors were either a safe distance, outside, or both. We all wore masks when the camera was not rolling, and all non-recorded members kept masks on at all times.
I filmed the vision video with my phone, and it was edited by team member Wyatt. Wyatt also did initial location scouting and storyboarding.
The poster touches on the product mission and the top features for riders and drivers. It also clarifies how Far-UVC works and how safe it is.Download Poster
The look book is a quick, one-page sheet that can be used as a small ad or visual reference for the style.Download Look Book
This is the code I personally wrote and shipped with our solution. It includes the code I used to turn a button into a toggle and the webserver I used to run the remote page.See My Code
Our process book includes even more information than what is on my site and details all the iteration stages in-depth.Download PDF
Miro was used for all of our collaboration, notes, affinitization, and other wonderful things that couldn't happen in-person because of Pandemic precautions.Go to Miro Board
Figma was used for all graphic design, interaction design, prototyping, and visual ideation. We most likely would have used Figma even without the Pandemic.Go to Figma Board
We conducted 11 interviews with people who either use or drive for ride share services. These interviews helped us understand more about what people expect when they enter a ride share vehicle and why they might not use them as much during the Pandemic.Interview Guide
We surveyed a total of 60 people on their vehicular habits before and during the Pandemic. The majority of them gave good insight on the way locals and those across the United States have curbed their habits to stop taking any kind of public transportation.Survey and Results
The best way to find out what ride share drivers want is to ride along with them. We were able to take two 20-minute Uber rides, interviewing the driver on the way to an arbitrary outlet store area.Watch My POV
After we were done with our Uber ride, we drove around the outlets and noted the behavior of people getting in and out of their vehicles. Of those we saw (n=50), only 2 sanitized the interior of their vehicle.See Data
We wanted to test the solution in a few different locations, but we didn't have light sensors to measure effectiveness. Instead, we got a 3D model of a car and put an emissive model in different locations to find the place that had the most coverage.Download Results
We used lots of virtual sticky notes to group all our sentiments into clusters. From there, we could look at all the big sentiments our research sample had relating to ride share systems, transportation, and how they all relate to the Pandemic.Download PDF
If you prefer to reach out yourself, I regularly monitor the following lines of communication: