A framework for applying the principles of depth perception to information visualization

Zeynep C. Y., Bulbul A., Çapın T. K.

ACM Transactions on Applied Perception, cilt.10, sa.4, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 10 Sayı: 4
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1145/2536764.2536766
  • Dergi Adı: ACM Transactions on Applied Perception
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Anahtar Kelimeler: Algorithms, Experimentation, Human Factors, Depth perception, depth cues, information visualization, cue combination, fuzzy logic
  • TED Üniversitesi Adresli: Hayır

Özet

During the visualization of 3D content, using the depth cues selectively to support the design goals and enabling a user to perceive the spatial relationships between the objects are important concerns. In this novel solution, we automate this process by proposing a framework that determines important depth cues for the input scene and the rendering methods to provide these cues. While determining the importance of the cues, we consider the user's tasks and the scene's spatial layout. The importance of each depth cue is calculated using a fuzzy logic-based decision system. Then, suitable rendering methods that provide the important cues are selected by performing a cost-profit analysis on the rendering costs of the methods and their contribution to depth perception. Possible cue conflicts are considered and handled in the system. We also provide formal experimental studies designed for several visualization tasks. A statistical analysis of the experiments verifies the success of our framework. © 2013 ACM.