Stanislav Popelka
- Anderson, N.C., Anderson, F., Kingstone, A. and Bischof, W.F. 2014. A comparison of scanpath comparison methods. Behavior research methods, 1377–1392.Google Scholar
- Beitlova, M., Popelka, S. and Vozenilek, V. 2020. Differences in Thematic Map Reading by Students and Their Geography Teacher. ISPRS International Journal of Geo-Information 9, 492.Google ScholarCross Ref
- Brus, J., Kucera, M. and Popelka, S. 2019. Intuitiveness of geospatial uncertainty visualizations: a user study on point symbols. Geografie 124, 163-185.Google ScholarCross Ref
- Cristino, F., Mathôt, S., Theeuwes, J. and Gilchrist, I.D. 2010. ScanMatch: A novel method for comparing fixation sequences. Behavior research methods 42, 692-700.Google Scholar
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- Dewhurst, R., Nyström, M., Jarodzka, H., Foulsham, T., Johansson, R. and Holmqvist, K. 2012. It depends on how you look at it: Scanpath comparison in multiple dimensions with MultiMatch, a vector-based approach. Behavior research methods 44, 1079-1100.Google Scholar
- Dolezalova, J. AND Popelka, S. 2016. ScanGraph: A Novel Scanpath Comparison Method Using Visualisation of Graph Cliques. Journal of Eye Movement Research 9.Google ScholarCross Ref
- Eraslan, S., Yaneva, V., Yesilada, Y. and Harper, S. 2017. Do web users with autism experience barriers when searching for information within web pages? In Proceedings of the 14th International Web for All Conference, 1-4.Google Scholar
- Eraslan, S., Yaneva, V., Yesilada, Y. and Harper, S. 2019. Web users with autism: eye tracking evidence for differences. Behaviour & Information Technology 38, 678-700.Google ScholarCross Ref
- Havelková, L. and Gołębiowska, I.M. 2020. What Went Wrong for Bad Solvers during Thematic Map Analysis? Lessons Learned from an Eye-Tracking Study. ISPRS International Journal of Geo-Information 9, 9.Google ScholarCross Ref
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- Jarodzka, H., Holmqvist, K. and Nyström, M. 2010. A vector-based, multidimensional scanpath similarity measure. In Proceedings of the Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications2010 ACM, 211-218.Google Scholar
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- Noton, D. and Stark, L. 1971. Scanpaths in saccadic eye movements while viewing and recognizing patterns. Vision Research 11, 929-IN928.Google ScholarCross Ref
- Popelka, S., Dolezalova, J. and Beitlova, M. 2018. New features of scangraph: a tool for revealing participants' strategy from eye-movement data. In Proceedings of the ACM Symposium on Eye Tracking Research & Applications2018 ACM, 103.Google Scholar
- Popelka, S., Vondrakova, A. and Hujnakova, P. 2019. Eye-Tracking Evaluation of Weather Web Maps ISPRS International Journal of Geo-Information 8, 29.Google Scholar
- Richardson, D.C. and Dale, R. 2005. Looking to understand: The coupling between speakers' and listeners' eye movements and its relationship to discourse comprehension. Cognitive science 29, 1045-1060.Google Scholar
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- Skrabankova, J., Popelka, S. and Beitlova, M. 2020. Students’ ability to work with graphs in physics studies related to three typical student groups. Journal of Baltic Science Education 19, 298-316.Google ScholarCross Ref
- Voßkühler, A., Nordmeier, V., Kuchinke, L. and Jacobs, A.M. 2008. OGAMA (Open Gaze and Mouse Analyzer): open-source software designed to analyze eye and mouse movements in slideshow study designs. Behavior research methods 40, 1150-1162.Google Scholar
- Wagner, A., Halchenko, Y. and Hanke, M. 2019. multimatch-gaze: The MultiMatch algorithm for gaze path comparison in Python. Journal of Open Source Software 4, 1525.Google ScholarCross Ref
- West, J.M., Haake, A.R., Rozanski, E.P. and Karn, K.S. 2006. eyePatterns: software for identifying patterns and similarities across fixation sequences. In Proceedings of the Symposium on Eye tracking research & applications (ETRA 2006), San Diego, California, USA2006 ACM, 149-154.Google Scholar
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