Exploring patterns of social commonality among file directories at work

  • Authors:
  • John C. Tang;Clemens Drews;Mark Smith;Fei Wu;Alison Sue;Tessa Lau

  • Affiliations:
  • IBM Research, San Jose, CA;IBM Research, San Jose, CA;IBM Research, San Jose, CA;University of Washington, Seattle, WA;IBM Research, San Jose, CA;IBM Research, San Jose, CA

  • Venue:
  • Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Year:
  • 2007

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Abstract

We studied files stored by members of a work organization for patterns of social commonality. Discovering identical or similar documents, applications, developer libraries, or other files may suggest shared interests or experience among users. Examining actual file data revealed a number of individual and aggregate practices around file storage. For example, pairs of users typically have many (over 13,000) files in common. A prototype called LiveWire exploits this commonality to make file backup and restore more efficient for a work organization. We removed commonly shared files and focused on specific filetypes that represent user activity to find more meaningful files in common. The Consolidarity project explores how patterns of file commonality could encourage social networking in an organizational context. Mechanisms for addressing the privacy concerns raised by this approach are discussed.