@inproceedings{33858756ac0848068a40988654c81cf5,
title = "Finding the outliers in scanpath data",
abstract = "In this paper, we describe the design of an interactive visualization tool for the comparison of eye movement data with a special focus on the outliers. In order to make the tool usable and accessible to anyone with a data science background, we provide a web-based solution by using the Dash library based on the Python programming language and the Python library Plotly. Interactive visualization is very well supported by Dash, which makes the visualization tool easy to use. We support multiple ways of comparing user scanpaths like bounding boxes and Jaccard indices to identify similarities. Moreover, we support matrix reordering to clearly separate the outliers in the scanpaths. We further support the data analyst by complementary views such as gaze plots and visual attention maps.",
keywords = "Eye tracking, Information visualization, Visual analytics",
author = "Michael Burch and Ayush Kumar and Klaus Mueller and Titus Kervezee and Wouter Nuijten and Rens Oostenbach and Lucas Peeters and Gijs Smit",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 11th ACM Symposium on Eye Tracking Research and Applications, ETRA 2019 ; Conference date: 25-06-2019 Through 28-06-2019",
year = "2019",
month = jun,
day = "25",
doi = "10.1145/3317958.3318225",
language = "English",
series = "Eye Tracking Research and Applications Symposium (ETRA)",
publisher = "Association for Computing Machinery",
editor = "Spencer, \{Stephen N.\}",
booktitle = "Proceedings - ETRA 2019",
}