Information from your handset could enable data analysis techniques to recommend activities and schedule your day.
MIT Media Laboratory has developed a technique that predicts a user's daily behavior and social allegiances based on handset data such as a user's early-morning activities and locations. Technology Review magazine reports that the technique predicted a person's remaining daily activities, associations and locations with 79 percent accuracy, and group affiliations with a 96 percent accuracy, using early-morning location and activity data only.
The research work will now investigate how people influence one another, and in particular, determine the level of satisfaction of people working on projects in groups.
For a paper detailing the work, click here
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