Calips: Design of Ubiquitous Decision Support Mechanism for the Campus Life Planning from the View of Integrating General Bayesian Networks and Context Prediction

Recently, ubiquitous decision support systems become more popular in many applications. However, the campus life planning area has remained untouched in the decision support literature. Moreover, the potentials of context prediction in lieu of context awareness systems were rarely explored in previous studies of the ubiquitous decision support systems. In this sense, this study proposes the systematic usage of General Bayesian Networks (GBNs) to organize high quality of causal knowledge base to be used for the sake of campus life planning. The prototype named CALIPS was designed on the smartphone. Two research questions that were never investigated in literature were raised(1) suggestion of the ubiquitous decision support mechanism for the campus life planning, named CALIPS, and (2) integrating GBN and context prediction into the CALIPS. Experiment results proved to support the validity of the CALIPS.