PAC
Personal Assistant For Cars
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PAC

Making the future a safer place to drive, walk, and bike.




  • Online Research

    Online research showed that the majority of accidents occur during 5-7 pm. There are a lot of cars in the road at this time, and it becomes darker. Pedestrian scrambles generally lead to safer intersections. When an accident occurs between a driver and a pedestrian, it is usually the pedestrian's fault

  • Observations

    After spending an hour watching intersections in downtown San Diego, we witnessed cars making the wrong turn onto one way streets, pedestrians crossing streets when its red for them, and drivers interacting with cyclists and pedestrians to signal who's turn it was to proceed.

  • Interviews

    We interviewed people who are from other countries, and they were surprised at how cars are allowed to make right turns, even when it is the pedestrian's right of way. Others felt as though a pedestrian scramble was the safest means of crossing streets. Another pedestrian expressed concern that often drivers don't notice him when he is walking

  • Ideation

    We came up with an idea to utilize the smart street lights that are in place around San Diego. These lights can process images in real time. We want to take that information and display it to drivers so they have an close up view of an intersection. The information relayed would be important street signs, nearby pedestrians and cyclists, and obstructions in the road.

  • User Testing

    We tested our design with 7 drivers all of different ages and different amounts of experience with driving. We compared how distracted they were using google maps vs our design.

  • Final Design

    We pivoted our design to be audio based. The app would alert drivers in a situation of danger. This design would mimic a front seat driver who warns the driver of pedestrians, cyclists, and other drivers. This new prototype is called P.A.C (Personal Assistant for your car)

Our Team

Alexander Chen

Product Design, 3rd year

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Marie Schneider

Cognitive Science, 5th year

Tamar Esserman

Cognitive Science, 4th year

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Yuka Okina

Product Design, 4th year