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.
|Title of host publication||ETRETA ’10ETRA ’10ETRA ’10ETRA ’10EETRA'10 Proceedings of the 2010 Symposium on Eye Tracking Research & Applications|
|Editors||Carlos Hitoshi Morimoto, Howell Istance|
|Place of Publication||New York|
|Publication status||Published - 2010|
- eye tracking
- scanpath similarity measure
Jarodzka, H., Kenneth, H., & Marcus, N. (2010). A vector-based, multidimensional scanpath similarity measure. In C. H. Morimoto, & H. Istance (Eds.), ETRETA ’10ETRA ’10ETRA ’10ETRA ’10EETRA'10 Proceedings of the 2010 Symposium on Eye Tracking Research & Applications (pp. 211-218). acm. https://doi.org/10.1145/1743666.1743718