Abstract

In the following study, the author developed a method for representing data from eye-tracking recordings. The study proposed a form of graphical analysis that illustrates hierarchical densities of visual regard without obscuring the original pictorial stimulus. Across three different case studies, subjects’ fixation patterns were used to propagate Voronoi generating points. Integrating both fixation locations and their respective dwell times, randomized Gaussian distribution provided a technique to augment Voronoi generating seeds and enhance graphical resolution. Color pixel values were then used to fill in resultant Voronoi cells, in relation to color values provided by the original stimulus. The study revealed a form of analysis that allowed for effective differentiation of viewing behaviors between different subjects, in which emphasis was placed on a subject's attentional distribution rather than on graphic icons.

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Author notes

The conceptual foundation for this paper was established during doctoral research at Yale University (New Haven, CT), within the School of Architecture. Additional text and graphic material were developed thereafter by the principal investigator, currently researching and teaching at Lehigh University (Bethlehem, PA).

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