Teaching Eye Tracking Visual Analytics in Computer and Data Science Bachelor Courses

2020 ◽  
Author(s):  
Michael Burch
Keyword(s):  
Eye Tracking ◽  
Visual Analytics ◽  
Data Science

scholarly journals VisME: Visual microsaccades explorer

2019 ◽  
Vol 12 (6) ◽  
Author(s):  
Tanja Munz ◽  
Lewis L. Chuang ◽  
Sebastian Pannasch ◽  
Daniel Weiskopf
Keyword(s):  
Eye Tracking ◽  
Visual Analytics ◽  
Movement Direction ◽  
Data Sets ◽  
Tracking Data ◽  
Interactive Tools ◽  
Brushing And Linking ◽  
Parameter Values ◽  
Filter Algorithms

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.

scholarly journals Special Issue on Selected Papers from IVAPP 2018

Information ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 171
Author(s):  
Alexandru Telea ◽  
Andreas Kerren
Keyword(s):  
Machine Learning ◽  
Information Visualization ◽  
Visual Analytics ◽  
Data Science ◽  
Time Dependent ◽  
Dependent Data ◽  
Special Issue ◽  
Making Sense ◽  
Recent Developments

Recent developments at the crossroads of data science, datamining,machine learning, and graphics and imaging sciences have further established information visualization and visual analytics as central disciplines that deliver methods, techniques, and tools for making sense of and extracting actionable insights and results fromlarge amounts of complex,multidimensional, hybrid, and time-dependent data.[...]

Visual Analytics for Mobile Eye Tracking

2017 ◽  
Vol 23 (1) ◽  
pp. 301-310 ◽  
Author(s):  
Kuno Kurzhals ◽  
Marcel Hlawatsch ◽  
Christof Seeger ◽  
Daniel Weiskopf
Keyword(s):  
Eye Tracking ◽  
Visual Analytics ◽  
Mobile Eye Tracking

scholarly journals ISeeColor: Method for Advanced Visual Analytics of Eye Tracking Data

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 52278-52287
Author(s):  
Karen Panetta ◽  
Qianwen Wan ◽  
Srijith Rajeev ◽  
Aleksandra Kaszowska ◽  
Aaron L. Gardony ◽  
...  
Keyword(s):  
Eye Tracking ◽  
Visual Analytics ◽  
Tracking Data
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