Information filtering for mobile augmented reality

  • Julier S
  • Lanzagorta M
  • Baillot Y
 et al. 
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Augmented reality is a potentially powerful paradigm for annotating the environment with computer-generated material. These benefits will be evert greater when augmented reality systems become mobile and wearable. However to minimize the problem of clutter and maximize the effectiveness of the display, algorithms must be developed to select only the most important information for the user: in this paper we describe a region-based information filtering algorithm. The algorithm takes account of the state of the user (location and intent) and the state of individual objects about which information can be presented. It can dynamically respond to changes in the environment and the user's state. We also describe how simple temporal, distance and angle cues can be used to refine the transitions between different information sets.

Author-supplied keywords

  • Application software
  • Augmented reality
  • Australia
  • Computer displays
  • Computer science
  • Filtering algorithms
  • Graphics
  • Information filtering
  • Information filters
  • Information technology
  • angle cues
  • augmented reality
  • clutter
  • data reduction
  • display effectiveness
  • distance cues
  • dynamic response
  • environment annotation
  • environment changes
  • head-up displays
  • information set transition refinement
  • mobile augmented reality
  • mobile computing
  • object state
  • portable computers
  • region-based information filtering algorithm
  • temporal cues
  • user intent
  • user interfaces
  • user location
  • user state changes
  • wearable systems

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  • Simon Julier

  • Marco Lanzagorta

  • Yohan Baillot

  • Lawrence Rosenblum

  • Steven Feiner

  • Tobias Höllerer

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