VisME: Visual microsaccades explorer
This work presents a visual analytics approach to explore microsaccade distributions in high-frequency eye tracking data. Research studies often apply filter algorithms and parameter values for microsaccade detection. Even when the same algorithms are employed, different parameter values might be ad...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-12-01
|
| Series: | Journal of Eye Movement Research |
| Subjects: | |
| Online Access: | https://bop.unibe.ch/JEMR/article/view/4339 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850252224712671232 |
|---|---|
| author | Tanja Munz Lewis L. Chuang Sebastian Pannasch Daniel Weiskopf |
| author_facet | Tanja Munz Lewis L. Chuang Sebastian Pannasch Daniel Weiskopf |
| author_sort | Tanja Munz |
| collection | DOAJ |
| description | This work presents a visual analytics approach to explore microsaccade distributions in high-frequency eye tracking data. Research studies often apply filter algorithms and parameter values for microsaccade detection. Even when the same algorithms are employed, different parameter values might be adopted across different studies. In this paper, we present a visual analytics system (VisME) to promote reproducibility in the data analysis of microsaccades. It allows users to interactively vary the parametric values for microsaccade filters and evaluate the resulting influence on microsaccade behavior across individuals and on a group level. In particular, we exploit brushing-and-linking techniques that allow the microsaccadic properties of space, time, and movement direction to be extracted, visualized, and compared across multiple views. We demonstrate in a case study the use of our visual analytics system on data sets collected from natural scene viewing and show in a qualitative usability study the usefulness of this approach for eye tracking researchers. We believe that interactive tools such as VisME will promote greater transparency in eye movement research by providing researchers with the ability to easily understand complex eye tracking data sets; such tools can also serve as teaching systems. VisME is provided as open source software. |
| format | Article |
| id | doaj-art-798dd67ea5d248229f3ba038384fdbb2 |
| institution | OA Journals |
| issn | 1995-8692 |
| language | English |
| publishDate | 2019-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Eye Movement Research |
| spelling | doaj-art-798dd67ea5d248229f3ba038384fdbb22025-08-20T01:57:41ZengMDPI AGJournal of Eye Movement Research1995-86922019-12-0112610.16910/jemr.12.6.5VisME: Visual microsaccades explorerTanja Munz0Lewis L. Chuang1Sebastian Pannasch2Daniel Weiskopf3University of StuttgartInstitute of Informatics, LMU MunichTechnische Universität DresdenUniversity of StuttgartThis work presents a visual analytics approach to explore microsaccade distributions in high-frequency eye tracking data. Research studies often apply filter algorithms and parameter values for microsaccade detection. Even when the same algorithms are employed, different parameter values might be adopted across different studies. In this paper, we present a visual analytics system (VisME) to promote reproducibility in the data analysis of microsaccades. It allows users to interactively vary the parametric values for microsaccade filters and evaluate the resulting influence on microsaccade behavior across individuals and on a group level. In particular, we exploit brushing-and-linking techniques that allow the microsaccadic properties of space, time, and movement direction to be extracted, visualized, and compared across multiple views. We demonstrate in a case study the use of our visual analytics system on data sets collected from natural scene viewing and show in a qualitative usability study the usefulness of this approach for eye tracking researchers. We believe that interactive tools such as VisME will promote greater transparency in eye movement research by providing researchers with the ability to easily understand complex eye tracking data sets; such tools can also serve as teaching systems. VisME is provided as open source software.https://bop.unibe.ch/JEMR/article/view/4339microsaccadesvisual analyticseye movementeye trackingparametersfixations |
| spellingShingle | Tanja Munz Lewis L. Chuang Sebastian Pannasch Daniel Weiskopf VisME: Visual microsaccades explorer Journal of Eye Movement Research microsaccades visual analytics eye movement eye tracking parameters fixations |
| title | VisME: Visual microsaccades explorer |
| title_full | VisME: Visual microsaccades explorer |
| title_fullStr | VisME: Visual microsaccades explorer |
| title_full_unstemmed | VisME: Visual microsaccades explorer |
| title_short | VisME: Visual microsaccades explorer |
| title_sort | visme visual microsaccades explorer |
| topic | microsaccades visual analytics eye movement eye tracking parameters fixations |
| url | https://bop.unibe.ch/JEMR/article/view/4339 |
| work_keys_str_mv | AT tanjamunz vismevisualmicrosaccadesexplorer AT lewislchuang vismevisualmicrosaccadesexplorer AT sebastianpannasch vismevisualmicrosaccadesexplorer AT danielweiskopf vismevisualmicrosaccadesexplorer |