SDSPM-based user interest prediction in collaborative graphics design systems under ubiquitous environment

Rapid advances in the enabling technologies for mobile and ubiquitous computing help portable devices to join collaborative graphics design conveniently. The limitation of display size and computational power of these embedded devices makes it hard for mobile users to browse large pattern that renewed in real time efficiently. We present a novel user interest region prediction algorithm and related system that use state duration based segmental probability model (SDSPM) to forecast user´s intention in the near future. Related experiment was carried out to test the effectiveness of the algorithm. Based on the prediction, only sub-patterns that might be interested to user are issued to the embedded sites. The proposed user interest prediction system is effective and the feasibility of the collaborative graphics design system in ubiquitous environment is enhanced.