What Makes a Visualization Memorable?

By Michelle A. Borkin, Azalea A. Vo, Zoya Bylinskii, Phillip Isola, Shashank Sunkavalli, Aude Oliva, Hanspeter Pfister. IEEE Transactions on Visualization and Computer Graphics, 2013

660 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

VizLinter: A Linter and Fixer Framework for Data Visualization (2021, background): “They derive rules from statistical features [46, 54, 61], visual effectiveness measures [9, 14], and user behaviors [20] or tasks [43].”
Opportunities and Challenges for Data Physicalization (2015, neutral): “Other criteria relevant to physicalizations include the insights gained from interacting with them [51], the extent to which they promote engagement and behavior change, their memorability [8], and the affective responses they elicit [26].”
InfographicVQA (2021, background): “[33], MASSVIS is a specialized collection focusing on illustration of scientiﬁc procedures and statistical charts, therefore not representative of general in-fographics.”
Beyond Memorability: Visualization Recognition and Recall (2016, methodology): “The effect of “visual embellishments” on the memorability and comprehensibility of visualizations is also an active area of research [4, 5, 7, 8, 15, 22, 31, 35, 43, 46].”