Context Prediction based on Context Histories: Expected Benefits, Issues and Current State-of-the-Art

TitleContext Prediction based on Context Histories: Expected Benefits, Issues and Current State-of-the-Art
Publication TypeConference Paper
Year of Publication2005
AuthorsMayrhofer, R.
EditorPrante, T.., Meyers B.., Fitzpatrick G.., & Harvel L.. D.
Conference NameProc. {ECHISE 2005}: 1st International Workshop on Exploiting Context Histories in Smart Environments
Date PublishedMay
Abstract

This paper presents the topic of context prediction as one possibility to exploit context histories. It lists some expected benefits of context prediction for certain application areas and discusses the associated issues in terms of accuracy, fault tolerance, unobtrusive operation, user acceptance, problem complexity and privacy. After identifying the challenges in context prediction, a first approach is summarized briefly. This approach, when applied to recorded context histories, builds upon three steps of a previously introduced software architecture: feature extraction, classification and prediction. Open issues remain in the areas of prediction accuracy, dealing with limited resources, sharing of context information and user studies.