Title
A Crowdsourced Alternative to Eye-tracking for Visualization Understanding
Abstract
In this study we investigate the utility of using mouse clicks as an alternative for eye fixations in the context of understanding data visualizations. We developed a crowdsourced study online in which participants were presented with a series of images containing graphs and diagrams and asked to describe them. Each image was blurred so that the participant needed to click to reveal bubbles - small, circular areas of the image at normal resolution. This is similar to having a confined area of focus like the human eye fovea. We compared the bubble click data with the fixation data from a complementary eye-tracking experiment by calculating the similarity between the resulting heatmaps. A high similarity score suggests that our methodology may be a viable crowdsourced alternative to eye-tracking experiments, especially when little to no eye-tracking data is available. This methodology can also be used to complement eye-tracking studies with an additional behavioral measurement, since it is specifically designed to measure which information people consciously choose to examine for understanding visualizations. \\
Year
DOI
Venue
2015
10.1145/2702613.2732934
CHI Extended Abstracts
Keywords
Field
DocType
comprehension,crowdsourcing,visualization,eye tracking,visual attention,multimedia information systems
Human eye,Graph,Data visualization,Fixation (psychology),Crowdsourcing,Computer science,Visualization,Eye tracking,Human–computer interaction,Multimedia,Comprehension
Conference
Citations 
PageRank 
References 
3
0.39
7
Authors
6
Name
Order
Citations
PageRank
Nam Wook Kim1714.40
Zoya Gavrilov228716.20
Michelle Borkin323715.82
Aude Oliva45121298.19
Krzysztof Z. Gajos51837127.94
Hanspeter Pfister65933340.59