Notewardy
Our clients’ idea for the application, Notewardy, was a tool that would enhance these experiences by using optical character recognition (OCR) technology to simplify the note-taking process, and spaced repetition methods to improve studying. With this in mind, our team conducted user research to better understand students’ needs in this space, as well as how the application should be designed to address those needs.
Edusure
Finding a health insurance plan can be a time-consuming, confusing, and a potentially expensive process since insurance companies do not readily advertise quotes without exchanging one’s contact information. Moreover, finding a plan is only the beginning and many younger patients lack the necessary knowledge to make health-related decisions, especially as it applies to their health insurance plan.
Cornell’s Postgraduate Statistics
The goal of this project was to create a non-interactive data visualization using d3.js to understand and analyze a large dataset of our choosing. We decided to analyze Cornell’s postgraduate survey results, focusing on the Information Science undergraduate, Information Science graduate, Computer Science undergraduate, and Computer Science graduate students.
Tompkins County ScienceHub
Our client is Dr. Norman Porticella of the Department of Communication at Cornell University. Dr. Porticella has a passion for increasing science literacy in the local Ithaca community and wanted to provide the community with STEM resources and grant information.
Sensemaking Research: Scary-tale Endings
A crucial part of developing a sensemaking model is to first identify the discrete characteristics that decidedly put a film into the psychological horror category. Once we have a more concrete definition of psychological horror movies, we can then move towards examining how exactly the effects of those movies manifest in the viewer.
Pinterest Case Study
Pinterest is a social media platform that allows users to get inspired by aesthetic content and to organize their ideas by different categories.