Clustered eye movement similarity matrices

Ayush Kumar, Neil Neal Timmermans, Michael Burch, Klaus Mueller

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

5 Citaten (Scopus)


Eye movements recorded for many study participants are difficult to interpret, in particular when the task is to identify similar scanning strategies over space, time, and participants. In this paper we describe an approach in which we first compare scanpaths, not only based on Jaccard (JD) and bounding box (BB) similarities, but also on more complex approaches like longest common subsequence (LCS), Frechet distance (FD), dynamic time warping (DTW), and edit distance (ED). The results of these algorithms generate a weighted comparison matrix while each entry encodes the pairwise participant scanpath comparison strength. To better identify participant groups of similar eye movement behavior we reorder this matrix by hierarchical clustering, optimal-leaf ordering, dimensionality reduction, or a spectral approach. The matrix visualization is linked to the original stimulus overplotted with visual attention maps and gaze plots on which typical interactions like temporal, spatial, or participant-based filtering can be applied.

Originele taal-2Engels
TitelProceedings - ETRA 2019
Subtitel2019 ACM Symposium On Eye Tracking Research and Applications
RedacteurenStephen N. Spencer
Plaats van productieNew York
UitgeverijAssociation for Computing Machinery, Inc
Aantal pagina's9
ISBN van elektronische versie978-1-4503-6709-7
StatusGepubliceerd - 25 jun 2019
Evenement11th ACM Symposium on Eye Tracking Research and Applications, ETRA 2019 - Denver, Verenigde Staten van Amerika
Duur: 25 jun 201928 jun 2019


Congres11th ACM Symposium on Eye Tracking Research and Applications, ETRA 2019
LandVerenigde Staten van Amerika

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  • Citeer dit

    Kumar, A., Timmermans, N. N., Burch, M., & Mueller, K. (2019). Clustered eye movement similarity matrices. In S. N. Spencer (editor), Proceedings - ETRA 2019: 2019 ACM Symposium On Eye Tracking Research and Applications [82] Association for Computing Machinery, Inc.