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Evaluation of Perceptually-Based Selective Rendering Techniques using Eye-Movements Analysis

Veronica Sundstedt, Alan Chalmers, Evaluation of Perceptually-Based Selective Rendering Techniques using Eye-Movements Analysis. To appear in SCCG 2006 - Spring Conference on Computer Graphics. April 2006. PDF, 755 Kbytes.

Abstract

In recent years, models of the human visual system, in particular bottom-up and top-down visual attention processes, have become commonplace in the design of perceptually-based selective rendering algorithms. Although psychophysical experiments have been performed to assess the perceived quality of selectively rendered imagery, little work has focused on validating the correlation of predictive region-of-interests (ROIs) as determined by perceptually based metrics to the actual eye-movements of human observers. In this paper we present a novel eye tracking study that investigates how accurately ROIs predict where participants direct their eyes towards while watching an animation. Our experimental study investigated the validity of using saliency and task maps as ROI predictors. This study involved 64 participants in four conditions: participants performing a task, or free-viewing a scene, while being naive or informed about the purpose of the experiment. The informed participants knew that they were going to assess rendering quality. Our overall results indicate that the task map does act as good predictor of ROI.

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