Journal ArticleDOI
What Makes a Visualization Memorable
Michelle A. Borkin,Azalea A. Vo,Zoya Bylinskii,Phillip Isola,Shashank Sunkavalli,Aude Oliva,Hanspeter Pfister +6 more
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TLDR
The largest scale visualization study to date, using 2,070 single-panel visualizations, suggests that quantifying memorability is a general metric of the utility of information, an essential step towards determining how to design effective visualizations.Abstract:
An ongoing debate in the Visualization community concerns the role that visualization types play in data understanding. In human cognition, understanding and memorability are intertwined. As a first step towards being able to ask questions about impact and effectiveness, here we ask: 'What makes a visualization memorable?' We ran the largest scale visualization study to date using 2,070 single-panel visualizations, categorized with visualization type (e.g., bar chart, line graph, etc.), collected from news media sites, government reports, scientific journals, and infographic sources. Each visualization was annotated with additional attributes, including ratings for data-ink ratios and visual densities. Using Amazon's Mechanical Turk, we collected memorability scores for hundreds of these visualizations, and discovered that observers are consistent in which visualizations they find memorable and forgettable. We find intuitive results (e.g., attributes like color and the inclusion of a human recognizable object enhance memorability) and less intuitive results (e.g., common graphs are less memorable than unique visualization types). Altogether our findings suggest that quantifying memorability is a general metric of the utility of information, an essential step towards determining how to design effective visualizations.read more
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Proceedings ArticleDOI
Opportunities and Challenges for Data Physicalization
Yvonne Jansen,Pierre Dragicevic,Petra Isenberg,Jason Alexander,Abhijit Karnik,Johan Kildal,Sriram Subramanian,Kasper Hornbæk +7 more
TL;DR: This article goes beyond the focused research questions addressed so far by delineating the research area, synthesizing its open challenges and laying out a research agenda.
Journal ArticleDOI
Beyond Memorability: Visualization Recognition and Recall
Michelle A. Borkin,Zoya Bylinskii,Nam Wook Kim,Constance M. Bainbridge,Chelsea S. Yeh,Daniel Borkin,Hanspeter Pfister,Aude Oliva +7 more
TL;DR: It is shown that visualizations memorable “at-a-glance” are also capable of effectively conveying the message of the visualization, and thus, a memorable visualization is often also an effective one.
Journal ArticleDOI
A survey of quantum image representations
TL;DR: This paper gathers the current mainstream quantum image representations (QIRs) and discusses the advances made in the area and believes this compendium will provide the readership an overview of progress witnessed while also simulating further interest to pursue more advanced research in it.
References
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Book
The Visual Display of Quantitative Information
TL;DR: The visual display of quantitative information is shown in the form of icons and symbols in order to facilitate the interpretation of data.
Proceedings ArticleDOI
The eyes have it: a task by data type taxonomy for information visualizations
TL;DR: A task by data type taxonomy with seven data types and seven tasks (overview, zoom, filter, details-on-demand, relate, history, and extracts) is offered.
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Information Visualization: Perception for Design
TL;DR: The art and science of why the authors see objects the way they do are explored, and the author presents the key principles at work for a wide range of applications--resulting in visualization of improved clarity, utility, and persuasiveness.
Posted Content
Conducting Behavioral Research on Amazon's Mechanical Turk
TL;DR: In this article, the authors demonstrate how to use Mechanical Turk for conducting behavioral research and lower the barrier to entry for researchers who could benefit from this platform, and illustrate the mechanics of putting a task on Mechanical Turk including recruiting subjects, executing the task, and reviewing the work submitted.