Robust clustering of eye movement recordings for quantification of visual interest
Anthony Santella, Doug DeCarlo
Proceedings of the 2004 symposium on Eye tracking research & applications, 2004, pp. 27--34.
Abstract: Characterizing the location and extent of a viewer's interest, in terms of eye movement recordings, informs a range of investigations in image and scene viewing. We present an automatic data-driven method for accomplishing this, which clusters visual point-of-regard (POR) measurements into gazes and regions-of-interest using the mean shift procedure. Clusters produced using this method form a structured representation of viewer interest, and at the same time are replicable and not heavily influenced by noise or outliers. Thus, they are useful in answering fine-grained questions about where and how a viewer examined an image.
@inproceedings{10.1145-968363.968368,
author = {Anthony Santella and Doug DeCarlo},
title = {Robust clustering of eye movement recordings for quantification of visual interest},
booktitle = {Proceedings of the 2004 symposium on Eye tracking research & applications},
pages = {27--34},
year = {2004},
}
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