The visual display of quantitative information
The visual display of quantitative information
Identifying fixations and saccades in eye-tracking protocols
ETRA '00 Proceedings of the 2000 symposium on Eye tracking research & applications
Information Graphics: A Comprehensive Illustrated Reference: Visual Tools for Analyzing, Managing, and Communicating
APVis '05 proceedings of the 2005 Asia-Pacific symposium on Information visualisation - Volume 45
Semiology of graphics
Information Dashboard Design: The Effective Visual Communication of Data
Information Dashboard Design: The Effective Visual Communication of Data
Exploring the role of individual differences in information visualization
AVI '08 Proceedings of the working conference on Advanced visual interfaces
Scanpath clustering and aggregation
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Parallel scan-path visualization
Proceedings of the Symposium on Eye Tracking Research and Applications
Eye tracking for visualization evaluation: reading values on linear versus radial graphs
Information Visualization - Special issue on Evaluation for Information Visualization
Exploring gaze data for determining user learning with an interactive simulation
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
Towards adaptive information visualization: on the influence of user characteristics
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
Proceedings of the 2013 international conference on Intelligent user interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 19th international conference on Intelligent User Interfaces
A visual approach for scan path comparison
Proceedings of the Symposium on Eye Tracking Research and Applications
| Hi-index | 0.00 |
Effective graphics are essential for understanding complex information and completing tasks. To assess graphic effectiveness, eye tracking methods can help provide a deeper understanding of scanning strategies that underlie more traditional, high-level accuracy and task completion time results. Eye tracking methods entail many challenges, such as defining fixations, assigning fixations to areas of interest, choosing appropriate metrics, addressing potential errors in gaze location, and handling scanning interruptions. Special considerations are also required designing, preparing, and conducting eye tracking studies. An illustrative eye tracking study was conducted to assess the differences in scanning within and between bar, line, and spider graphs, to determine which graphs best support relative comparisons along several dimensions. There was excessive scanning to locate the correct bar graph in easier tasks. Scanning across bar and line graph dimensions before comparing across graphs was evident in harder tasks. There was repeated scanning between the same dimension of two spider graphs, implying a greater cognitive demand from scanning in a circle that contains multiple linear dimensions, than from scanning the linear axes of bar and line graphs. With appropriate task design and targeted analysis metrics, eye tracking techniques can illuminate visual scanning patterns hidden by more traditional time and accuracy results.