AN ARCHITECTURE TO SUPPORT PERSONALIZED INTERACTION ACROSS MULTIPLE DIGITALLY AUGMENTED SPACES

作者：Stoica Adrian^*; Avouris Nikolaos

来源：International Journal on Artificial Intelligence Tools, 2010, 19(2): 137-158.

DOI：10.1142/S021821301000008X

• Mobile applications
• personalization
• user models
• privacy

Any physical space can be augmented with digital information, associated to various locations or artefacts contained in it. In this paper, an abstract architecture is presented, supporting interaction with mobile context aware applications in public digitally augmented spaces. We focus on how this architecture supports personalization of interaction and adaptation. The main goal of the architecture is to allow users to benefit of a uniform and personalized experience across different contexts and spaces. Among the concerns are: to support high interoperability and flexibility and to address issues of privacy and user control. The framework has been tested in typical augmented spaces: a library and a museum. The paper concludes with a set of examples of use of the defined framework that cover typical situations for intra-space and across spaces usage.

• 出版日期2010-4