AIDA: an Adaptive Immersive Data Analyzer

نویسندگان

  • Mehdi Sharifzadeh
  • Cyrus Shahabi
  • Bahareh Navai
  • Farid Parvini
  • Albert A. Rizzo
چکیده

In this demonstration, we show various querying capabilities of an application called AIDA. AIDA is developed to help the study of attention disorder in kids. In a different study [1], we collected several immresive sensory data streams from kids monitored in an immersive application called the virtual classroom. This dataset, termed immersidata is used to analyze the behavior of kids in the virtual classroom environment. AIDA’s database stores all the geometry of the objects in the virtual classroom environment and their spatio-temporal behavior. In addition, it stores all the immersidata collected from the kids experimenting with the application. AIDA’s graphical user interface then supports various spatio-temporal queries on these datasets. Moreover, AIDA replays the immersidata streams as if they are collected in real-time and on which supports various continuous queries. This demonstration is a proof-of-concept prototype of a typical design and development of a domain-specific query and analysis application on the users’ interaction data with immersive environments.

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تاریخ انتشار 2004