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AtomsMasher: PeRSSonalized Information Delivery and Management on the Web (2007)

Abstract
Over the past two years, social networking sites have fostered a new kind of data publication: personal feeds about schedule, location, music playing, activity and so on. While these feeds have been mainly used at face value as status reports for human readership, we present AtomsMasher, a tool that uses these feeds as a computer's context to inform automatic actions: an update of a current location query, compared with a calendar entry's meeting location and time can trigger an automatic "I'm late; I'm on the way" to necessary parties. This light-weight (though surprisingly complex) automation frees us from manually updating multiple sources; likewise the information context can privilege the presentation of other sources: if the news is not about a band i listen to, don't show me upcoming gigs. To deliver this utility however, we have needed to address two key challenges: operationalizing data sources with little original structure and providing interaction approaches to support non-specialists defining rules for these sources' interaction. The contribution of this work is the demonstration that a simple property/value extension to RSS feeds enables a new kind of interaction with information: even non-specialist users can define precise rules to take control of or successfully delegate the handling of the high volume of both personal and public information we produce and must process.

Publication details
Download http://eprints.ecs.soton.ac.uk/14827/2/atomsmasher.pdf
Repository University of Southampton [School of Electronics and Computer Science] (United Kingdom)
Type Technical Report, NonPeerReviewed
Relation http://eprints.ecs.soton.ac.uk/14827/