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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/3135

Title: A vector-based, multidimensional scanpath similarity measure
Authors: Jarodzka, Halszka
Kenneth, Holmqvist
Marcus, Nyström
Keywords: eye tracking
scanpath similarity measure
Issue Date: 2010
Publisher: ACM New York, NY, USA ©2010
Abstract: A great need exists in many fields of eye-tracking research for a robust and general method for scanpath comparisons. Current mea sures either quantize scanpaths in space (string editing measures like the Levenshtein distance) or in time (measures based on attention maps). This paper proposes a new pairwise scanpath similarity measure. Unlike previous measures that either use AOI sequences or forgo temporal order, the new measure defines scanpaths as a series of geometric vectors and compares temporally aligned scanpaths across several dimensions: shape, fixation position, length, direction, and fixation duration. This approach offers more multifaceted insights to how similar two scanpaths are. Eight fictitious scanpath pairs are tested to elucidate the strengths of the new measure, both in itself and compared to two of the currently most popular measures - the Levenshtein distance and attention map corre- lation.
Description: Jarodzka, H., Holmqvist, K., & Nyström, M. (2010). A vector-based, multidimensional scanpath similarity measure. In C. Morimoto & H. Instance (Eds.), Proceedings of the 2010 Symposium on Eye Tracking Research & Applications ETRA ’10 (pp. 211-218). New York, NY: ACM.
URI: http://hdl.handle.net/1820/3135
ISBN: 978-1-60558-994-7 Order Number: 434101
Appears in Collections:1. LC: Publications and Preprints

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