Using Multiple Perspective Projections to Guide Visual Attention in Glyph-based Data Visualisations in VR

Abstract

An important goal of glyph based data visualization is to detect anomalies in data sets or to manage complex search tasks by guiding the users attention to regions of interest. Previous studies suggest that the user's attention is tied to regions where different perspective projections meet. We describe a method for perspective distortion of glyphs within a virtual scene, while the rest of the scene is projected according to the common model of the computer graphics camera. The result is a multi-perspective image that directs the user's attention. The perspective distortion is only applied if the user focuses on an irrelevant area of the data visualization. As soon as the gaze moves towards the relevant glyph, the perspective distortion is gradually removed. Therefore we evaluate eye tracking data in our prototypical implementation. CCS CONCEPTS • Information systems → Data analytics; • Human-centered computing → Visual analytics; Virtual reality.