Activity rhythm detection and modeling

  • Authors:
  • Rosco Hill;James Begole

  • Affiliations:
  • Sun Microsystems Laboratories, Mountain View, CA;Sun Microsystems Laboratories, Mountain View, CA

  • Venue:
  • CHI '03 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2003

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Abstract

We present an algorithm for detecting and modeling rhythmic temporal patterns in the record of an individual's computer activity, or online "presence." The model is both predictive and descriptive of temporal features and is constructed with minimal a priori knowledge.