Scaptics and Highlight-Planes

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Scaptics and Highlight-Planes: Immersive Interaction Techniques for Finding Occluded Features in 3D Scatterplots
Arnaud Prouzeau, Maxime Cordeil, Clément Robin, Barrett Ens, Bruce H. Thomas and Tim Dwyer

30 scatter plots are a useful tool to visualize high dimensional information on desktop environments they suffer from four well-known perception problems such as depth perception and illusion immersive virtual-reality provides more natural 3d environments to visualize the 3d scatter pots head-tracking allows a user to walk around the 3d scatter plot and inspect clusters using parallax motion however it remains a challenge to assess the density of a cluster or understand void spaces between them you we introduce athletes for scatterbug habits technique where they release fiber tactile feedback on the VR controllers we use the 3d kernel density estimation volume to derive density information of the 3d scatter plot to avoid clutter the spatial density information is not displayed instead the density information is mapped to the vibrating motors of the VR controllers vibration is stronger in asbestos and we care in more entity regions we also introduced an adaptation of the cutting plane for 3d scatter plots that we call highlight plane the highlight plane increases the size of the intersected data points in our paper we provide the controlled experiments that assesses the two techniques for two tasks in desk one participants had to find the void in the 3d scatter plot you in task 2 participants had to find the densest cluster in the scatterplot you our results show that skeptics and the highlight plane improved performance to find avoid regions however we find that skeptics only improves accuracy to find the dense clusters

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