Evaluating stereo and motion cues for visualizing information nets in three dimensions
ACM Transactions on Graphics (TOG)
Collaborative augmented reality: exploring dynamical systems
VIS '97 Proceedings of the 8th conference on Visualization '97
Rotating virtual objects with real handles
ACM Transactions on Computer-Human Interaction (TOCHI)
Construct3D: A Virtual Reality Application for Mathematics and Geometry Education
Education and Information Technologies
Evaluation of Mixed-Space Collaboration
ISMAR '05 Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality
Visual community detection: an evaluation of 2d, 3d perspective and 3d stereoscopic displays
GD'11 Proceedings of the 19th international conference on Graph Drawing
Embodied interaction with complex neuronal data in mixed-reality
Proceedings of the 2012 Virtual Reality International Conference
Analytic review of usability evaluation in ISMAR
Interacting with Computers
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In this paper we explore the effect of using AugmentedReality (AR) for three-dimensional graph link analysis.Two experiments were conducted. The first was designedto compare a tangible AR interface to a desktop-basedinterface. Different modes of viewing network graphswere presented using a variety of interfaces. The resultsof the first experiment shows that a tangible AR interfaceis well suited to link analysis. The second experiment wasdesigned to test the effect of stereographic viewing ongraph comprehension. The results show thatstereographic viewing has little effect on comprehensionand performance. These experiments add support to thework of Ware and Frank, whose studies showed thatdepth and motion cues provide huge gains in spatialcomprehension and accuracy in link analysis.