3D Visualizations of Abstract DataSets
Elizabeth Fitzhugh, Eric Smith, Sharon Ellis · 2010
Abstract : The 3D Visualizations of Abstract Datasets effort is part of a series of 3D experimentation with dual goals of exploring the applicability of 3D environments to abstract network presentations and defining guidance for optimal display design. The series encompasses a survey of 3D military applications, a subjective metrics study of user preferences for 3D display types, and two sets of experimentation documenting user performance interpreting node depth in 2.5D and 3D abstract network displays. The current study (not yet completed) focuses on user ability to interpret node depth, under two levels of network complexity, employing several types of depth interpretation aids. The experimental hypothesis anticipates diminishing returns in speed and accuracy as interpretative aids increase scene clutter. The first aiding condition provides lines of perspective through an artificial floor and contrasts labeled tick marks, lanes, and grid lines. The second contrasts no shadows, drop shadows and drop lines.