A User-Adaptive Augmented Reality System in Mobile Computing Environment

  • Sejin Oh
  • Yung-Cheol Byun
Part of the Studies in Computational Intelligence book series (SCI, volume 413)


In this paper, we present a user-adaptive augmented reality (AR) system that augments physical objects with personalized content according to user’s context as well as preferences. Since a user prefers different content according to the context, it reasons the user’s recent content preferences through artificial neural networks trained with the feedback history describing which content the user liked or disliked with respect to his/her context. The system recommends a set of content relevant to the user’s context and preferences. Then, it enables the user to select a preferred content among the recommended set and superimposes the selected content over physical objects.We implemented a prototype illustrating how our system could be used in daily life and evaluate its performance. From experimental results, we could confirm that our system effectively assisted users through personalized content augmentation in mobile computing environment.


Mobile Device Augmented Reality Physical Object Mobile Sensor Content Viewer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Convergence R&D Lab.LG ElectronicsSeoulS. Korea
  2. 2.Dept. of Computer EngineeringJeju National UniversityJejuS. Korea

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