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Predicting Social Security Numbers

Alessandro Acquisti led a team of Carnegie Mellon University researchers who have shown that public information readily gleaned from governmental sources, commercial databases, or online social networks can be used to routinely predict most, and sometimes all, of an individual's nine-digit Social Security number.

Trinetra ("The Third Eye")

The Trinetra project at Carnegie Mellons Electrical and Computer Engineering Department has been focused on developing mobile technologies to help the visually impaired lead a more independent life. The video shows the prototype concept of the Trinetra mobile grocery-shopping assistant and also the prototype in action, in the hands of a blind user at the Carnegie Mellon campus store.

Behavioral Economics and Privacy

Alessandro Acquisti, assistant professor of information technology and public policy, applies economics and behavioral psychology to understanding privacy decision-making.

Games with a Purpose

Professor of computer science Luis von Ahn is getting people to solve problems that computers can't...while they play games.

Quality of Life Technology

Takeo Kanade, professor of robotics and computer science, and James Osborn, executive director of the Quality of Life Technology center, talk about how the center is developing technology to help people live independently.