O'Reilly Where 2.0 Conference - June 29-30, 2005 - San Francisco, CA
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Session

Modeling Complex Social Systems: How My Phone Can Predict What I’ll Be Doing After This Talk
Nathan Eagle

Date: Thursday, June 30
Time: 11:00am - 11:15am
Location: Grand Ballroom

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Collecting large amounts of data on human behavior has traditionally been an arduous process, involving extensive surveys, interviews, ethnographic studies, or analysis of online behavior. Today, however, it is possible to use the unprecedented amount of information generated by pervasive mobile phones to provide insights into the dynamics of both individual and group behavior. Information such as continuous proximity, location, communication, and activity data, has been gathered from the phones of 100 human subjects at MIT. Systematic measurements from these 100 people over the course of eight months has generated one of the largest datasets of continuous human behavior ever collected, representing almost 500,000 hours of daily activity. This talk introduces several applications using this data including LifeLog, an automatic diary generation system; and Serendipity, a mobile matchmaking service. Some preliminary results will also be shown to illustrate how standard Bluetooth-enabled mobile phones can be used to model patterns in daily user activity, infer relationships between users, and identify significant locations, as well as to predict individual actions and emergent behavior of teams and organizations.


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