Flytrap is a group music environment that knows its users' musical tastes and can automatically construct a soundtrack that tries to please everyone in the room. The system works by paying attention to what music people listen to on their computers. Users of the system have radio frequency ID badges that let the system know when they are nearby. Using the preference information it has gathered from watching its users, and knowledge of how genres of music interrelate, how artists have influenced each other, and what kinds of transitions between songs people tend to make, the 'virtual DJ' finds a compromise and chooses a song. The system tries to satisfy the tastes of people in the room, but it also makes a playlist that fits its own notion of what should come next. Once it has chosen a song, music is automatically broadcast over the network and played on the closest machine.
While recent work has focused on providing tools and infrastructure for users to access electronic information over the Internet, the relationship between the physical world and information available online has been relatively unexplored. Information about a user's location, and the objects she interacts with, can be sufficient to recognize enough of the user's task to drive retrieval of online information relevant to the task at hand. The XLibris system automatically retrieves, aggregates, and delivers information about books to users as they are checked out of the library, using information about the books themselves and the user's task. XLibris locates books in the Dewey Decimal subject hierarchy to automatically search for the most relevant information about the book for the user, tailoring both the sources queried and the information returned based on the book's position in the hierarchy.
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