A crowdsourced alternative to eye-tracking for visualization understanding

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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. Copyright is held by the author/owner(s).

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APA

Kim, N. W., Bylinskii, Z., Borkin, M. A., Oliva, A., Gajos, K. Z., & Pfister, H. (2015). A crowdsourced alternative to eye-tracking for visualization understanding. In Conference on Human Factors in Computing Systems - Proceedings (Vol. 18, pp. 1349–1354). Association for Computing Machinery. https://doi.org/10.1145/2702613.2732934

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