Occipital—a San-Francisco based science lab and software startup. They develop state-of-the-art mobile computer vision applications. In 2013, Occipital launched the Structure Sensor, the first 3D, depth-sensing camera for mobile devices.
Along with the Structure Sensor, Occipital offers sample apps that allow users to scan and capture dimensions in a room, take detailed 3D scans of an object, and create augmented reality scenarios from your physical environment. The intention of these demo apps is to provide working examples and code for developers to learn the features and apply it to their own applications.
My team at Fresh Tilled Soil (Tricia Ravelo, Luke Selinger, Suzanne Wu, and myself) performed an audit on three of their demo apps—Scanner, Room Capture, and Fetch. Our process included exploring user journeys and analyzing mental model behaviors, such as pain points and motivations. We then conducted a series of interviews with iOS and Front-End Web developers. Through our evaluation, we discovered there were usability barriers that prevented users from understanding the full capabilities and imagining future use cases.
We propose Occipital develop a consumer level app that not only demonstrates its full functionalities, but also inspires users to the possibilities of the Structure Sensor. My team diverged to individually come up with various possibilities. My solution is BuiltBod3D—a fitness app that allow coaches to capture vital body measurements and track their clients’ progress with 3D images.
After speaking with a few fitness trainers and amateur bodybuilders, there appeared to be a need for a product that could visually assess physical improvements and body symmetry, along with tracking bmi, body fat, and other measurements. Although there are a number of fitness apps available, they don’t provide a comprehensive account of one’s progress. For the few apps that do allow users to upload or take photos, the 2D images can be misleading. Lighting and coloring differences can mask real change. Also measurements cannot be captured from the 2D photographs. Bodybuilders still need to measure the circumference of various body parts with a tape measure (which could stretch or shrink). Then they have to input the collected data into the app. For coaches and trainers, this can be tedious if they have to keep track of multiple clients.
BuiltBod3D can eliminate human error and get more accurate body measurements. Users can achieve and maintain a balanced physique by assessing symmetry and posture with 3D images. Measurements can be collected and quickly stored, and data can easily be maintained and shared.
For this project, I focused on the onboarding and empty state experience of the application. By utilizing emotional and behavioral design methodologies, I created a prototype that introduces a user to the Structure Sensor and teaches them to effortlessly scan and measure. My full presentation is available to view here.