Fixation sequence analysis can reveal the cognitive strategies that drive eye movements. Unfortunately this type of analysis is not as common as other popular eye movement measures, such as fixation duration and trace length, because the proper tools for fixation sequence analysis are not incorporated into most popular eye movement software. This paper describes eyePatterns, a new tool for discovering similarities in fixation sequences and identifying the experimental variables that may influence their characteristics.
%0 Conference Paper
%1 WestEtAl2006
%A West, Julia M.
%A Haake, Anne R.
%A Rozanski, Evelyn P.
%A Karn, Keith S.
%B ETRA '06: Proceedings of the 2006 symposium on Eye tracking research & applications
%C New York, NY, USA
%D 2006
%I ACM Press
%K B_scanpathsimilarity article clustering eyetracking measures methodology
%P 149--154
%R http://doi.acm.org/10.1145/1117309.1117360
%T eyePatterns: Software for Identifying Patterns and Similarities Across Fixation Sequences
%X Fixation sequence analysis can reveal the cognitive strategies that drive eye movements. Unfortunately this type of analysis is not as common as other popular eye movement measures, such as fixation duration and trace length, because the proper tools for fixation sequence analysis are not incorporated into most popular eye movement software. This paper describes eyePatterns, a new tool for discovering similarities in fixation sequences and identifying the experimental variables that may influence their characteristics.
%@ 1-59593-305-0
@inproceedings{WestEtAl2006,
abstract = {Fixation sequence analysis can reveal the cognitive strategies that drive eye movements. Unfortunately this type of analysis is not as common as other popular eye movement measures, such as fixation duration and trace length, because the proper tools for fixation sequence analysis are not incorporated into most popular eye movement software. This paper describes eyePatterns, a new tool for discovering similarities in fixation sequences and identifying the experimental variables that may influence their characteristics.},
added-at = {2006-12-06T19:47:04.000+0100},
address = {New York, NY, USA},
author = {West, Julia M. and Haake, Anne R. and Rozanski, Evelyn P. and Karn, Keith S.},
biburl = {https://www.bibsonomy.org/bibtex/2fe299199b50d01b59776123331d468e4/tmalsburg},
booktitle = {ETRA '06: Proceedings of the 2006 symposium on Eye tracking research \& applications},
doi = {http://doi.acm.org/10.1145/1117309.1117360},
interhash = {110cb36455bf142a04b0daf2e316d7d2},
intrahash = {fe299199b50d01b59776123331d468e4},
isbn = {1-59593-305-0},
keywords = {B_scanpathsimilarity article clustering eyetracking measures methodology},
location = {San Diego, California},
pages = {149--154},
publisher = {ACM Press},
timestamp = {2007-10-04T14:23:25.000+0200},
title = {eyePatterns: Software for Identifying Patterns and Similarities Across Fixation Sequences},
year = 2006
}