A scalable method for characterizing visual search strategies: A novel application of time-series clustering to raw eye-tracking data.
- DOI
- 10.3758/s13428-026-03154-2
- Published
- 2026 Sep 9
- Container
- Behavior research methods
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.3758/s13428-026-03154-2,
title = {A scalable method for characterizing visual search strategies: A novel application of time-series clustering to raw eye-tracking data.},
author = {Seacrist T and Walshe EE and Grethlein D and Ryerson MS and Winston FK},
year = {2026},
journal = {Behavior research methods},
doi = {10.3758/s13428-026-03154-2},
url = {https://doi.org/10.3758/s13428-026-03154-2}
}RIS
TY - JOUR TI - A scalable method for characterizing visual search strategies: A novel application of time-series clustering to raw eye-tracking data. AU - Seacrist T AU - Walshe EE AU - Grethlein D AU - Ryerson MS AU - Winston FK PY - 2026 JO - Behavior research methods DO - 10.3758/s13428-026-03154-2 UR - https://doi.org/10.3758/s13428-026-03154-2 ER -
APA
T, S., EE, W., D, G., MS, R., & FK, W. (2026). A scalable method for characterizing visual search strategies: A novel application of time-series clustering to raw eye-tracking data.. Behavior research methods. https://doi.org/10.3758/s13428-026-03154-2
Source records
- pubmed · retrieved 2026-09-25T23:33:45.509Z
- europe-pmc · retrieved 2026-09-25T23:33:45.099Z