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.
Original language | English |
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Title of host publication | Proceedings - ETRA 2019 |
Subtitle of host publication | 2019 ACM Symposium On Eye Tracking Research and Applications |
Editors | Stephen N. Spencer |
Place of Publication | New York |
Publisher | Association for Computing Machinery, Inc |
Number of pages | 5 |
ISBN (Electronic) | 9781450367097 |
DOIs | |
Publication status | Published - 25 Jun 2019 |
Event | 11th ACM Symposium on Eye Tracking Research and Applications, ETRA 2019 - Denver, United States Duration: 25 Jun 2019 → 28 Jun 2019 |
Conference
Conference | 11th ACM Symposium on Eye Tracking Research and Applications, ETRA 2019 |
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Country/Territory | United States |
City | Denver |
Period | 25/06/19 → 28/06/19 |
Keywords
- Eye tracking
- Information visualization
- Visual analytics