Tuning the Behavior of Context-Aware Applications Using Semiotic Norms and Bayesian Modeling to Establish the User Situation

摘要

Context-aware applications are to adapt their "behavior" to the surrounding context. In this paper, we analyze different ways to achieve adequate application behavior adjustment (based on context data) and we stress upon: (i) Bayesian modeling that is not only considered useful in this regard but is also not enough explored as it concerns context-aware applications; (ii) semiotic norms that have specific relevant strengths. Even though there is much experience as it concerns the challenge of capturing context data, more knowledge is still needed about how to use context data in order to effectively make the right judgement about the "current" user situation (context state). We consider this paper's contribution as relevant to the above-mentioned challenge.