A vector-based, multidimensional scanpath similarity measure

Halszka Jarodzka, Holmqvist Kenneth, Nyström Marcus

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    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.
    Original languageEnglish
    Title of host publicationETRETA ’10ETRA ’10ETRA ’10ETRA ’10EETRA'10 Proceedings of the 2010 Symposium on Eye Tracking Research & Applications
    EditorsCarlos Hitoshi Morimoto, Howell Istance
    Place of PublicationNew York
    Publisheracm
    Pages211-218
    ISBN (Print)978-1-60558-994-7
    DOIs
    Publication statusPublished - 2010

    Keywords

    • eye tracking
    • scanpath similarity measure

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  • Cite this

    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