MFA in Interaction Design: Home

Student Projects

Re-imagine The New York Times

Designing the Conversation with Khoi Vinh

{title} Students were given the opportunity to re-imagine the New York Times as a startup, answering the question, "given the same content produced daily, what kind of product would you build out of it?" Students were challenged to think about the problem from a business perspective, and to think big and be brilliant.
  • Russ Maschmeyer, Katie Koch, Stephanie Aaron : Breakout

    Breakout

    As team “Mathletes,” Katie, Russ and Stephanie decided to use image recognition software to bring news and information to people in a topical, self directed way. The user could snap a photo of a book, a building, a photo or a news article in the paper and instantly unlock overviews, interactive information graphics, in-depth looks, video and more right on their smart phone. The application would log their interests and feed it back into the larger NYTimes online ecosystem. Over time, the user’s New York Times online experience would grow increasingly customized to the user’s interests.

  • Evinn Quinn, Beatriz Vizcaino, Carmen Dukes : New York Times iPhone App

    New York Times iPhone App

    The scope of this project was to create a new and compelling way to distribute the New York Times newspaper content. My goal for this project was to provide an engaging, surprising, and personal experience when using the vast source of NY Times content. A redesigned iphone application made this possible, on a mobile scale. The new application is a user driven system. Instead of having to sift through all of the NY Times content, you can type in a subject that interest you, and all the NY Times content will be presented to you one article at a time. Articles related to your search will present themselves one after another assuring that the user is reading something they are interested in. The revised application also lets the user rate articles. The more the user reads & rates, the faster the application figures out the users personal preferences, and can provide better preference-based content.