BibTex
@inproceedings{Mairena:2022:10.20380/GI2022.25,
author = {Mairena, Aristides and Uddin, Md. Sami and Gutwin, Carl},
title = {Accidental Landmarks: How Showing (and Removing) Emphasis in a 2D Visualization Affected Retrieval and Revisitation},
booktitle = {Proceedings of Graphics Interface 2022},
series = {GI 2022},
year = {2022},
issn = {0713-5424},
location = {Montr{\'e}al, Quebec},
pages = {254 -- 270},
numpages = {16},
doi = {10.20380/GI2022.25},
publisher = {Canadian Information Processing Society},
}
Abstract
Many visualizations display large datasets in which it can be difficult for users to find (and re-find) specific items. In systems that provide highlighting tools (e.g., filtering or brushing), emphasized points can become "accidental landmarks" - visual anchors that help users remember locations that are near the emphasized points. Accidental landmarks could be useful (by aiding revisitation), but if users become dependent on them, removing or changing the highlighting could cause problems. We provide designers with information about these issues through two crowdsourced studies in which people learned a set of item locations (in visualizations with or without emphasized points); we then removed or changed the highlighting to see if performance suffered. In the first study, which used a simple grid of points, results showed that changing or removing emphasized points significantly impeded users' ability to re-find targets, but the highlighting did not improve performance during training. In the second study, which used a more complex scatterplot, we found that highlighting significantly improved performance during training, but that removing or changing the emphasis points only reduced refinding performance for a few target types. Our work demonstrates that visualization designers need to consider how transient visual effects such as emphasis can affect spatial learning and revisitation, and provides new knowledge about how visual features can affect performance.