Co-Pilot is a rideshare app concept that eases anxiety felt by foreign drivers by connecting them with local passengers along a mutual route.
Timeline: 2 Weeks
My Role: Research, Interaction Design
How might we use dynamic self-tracking data to improve the driving experience for foreign drivers?
research and empathy building
We wanted to design a solution to assist foreign drivers, which we defined as people who learned to drive in a country other than the U.S., possessed a driver's license for a non-commercial vehicle, and drove within one year of arriving in the U.S.
what we know today
- Technology can turn personal information into data (e.g., wearable sensors can track stress in the human body, GPS can track location).
- Driving while stressed or nervous can negatively impact driving.
- Foreign drivers are at an increased risk for accidents.
We talked to seven foreign drivers, and all of them expressed some form of anxiety when initially driving in the U.S.
We came up with over 30 concepts, recording each idea with a sketch and short description. We grouped them by theme and created a shortlist.
We mapped our concepts onto 2x2 matrices to identify trends and areas that were lacking or could be expanded upon.
Personalized <---> Standardized
Automated <---> Manual
Most of our concepts fell within the personalized/automated quadrant. With our specific audience in mind (foreign drivers), we decided to prioritize the “personalized” aspect of the service.
Luxury <---> Practical
High Cost <---> Low Cost
We were drawn towards concepts that were high-cost, but were cognizant of the greater accessibility and feasibility of low- cost options.
One-Time Measurement <---> Continuous Monitoring
High Potential for Distraction <--> Low Potential for Distraction
This matrix helped us pay attention to what is being measured and led us to think about shifting the quantified self data acquisition to local drivers, rather than focusing on tracking aspects of foreign drivers.
reframing the problem
Referencing our research, empathy exercises, and insights from the 2x2 matrices, we concluded that personal companionship plays a big role in reducing anxiety in foreign drivers. One of our concepts was an in-car voice assistant that could sense physiological stress and initiate calming dialogue.
To better align with our population’s needs, we modified this concept to emphasize real human interaction. Instead of tracking the stress of foreign drivers, we decided to track the driving routes of locals in the community. Based on this information, we chose to pair foreign drivers with local passengers along a mutual route.
Illustrations: Bert Zhang
what i would do differently...
- Create more visuals during each stage of the process to succinctly communicate the concept.
- User first, technology second: the crux of our final concept was companionship, but initially we were bogged down in the digital aspects of quantified self. In the beginning, I think we pigeon-holed ourselves into trying to come up with a technological solution instead of prioritizing the users' needs.
- Prototype the app experience.
- User testing to evaluate the user flow and gather feedback on desirability/usability.
- Competitive analysis of other ride-share apps.