Activity rhythm detection and modeling

We present an algorithm for detecting and modeling rhythmic temporal patterns from 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. Keywords Awareness, rhythms, CSCW, user modeling, statistics

• Type: Conference
• Year: 2003
• Where: CHI
• Authors: Rosco Hill, James Begole
• Keywords: CHI 2003, Human Computer Interaction, Rhythmic Temporal Patterns, Temporal Features