Useful junk?: the effects of visual embellishment on comprehension and memorability of charts
By Scott Bateman, Regan L. Mandryk, Carl Gutwin, Aaron Genest, D. McDine, Christopher A. Brooks. International Conference on Human Factors in Computing Systems, 2010
466 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/5c1008ce672d709d41cbcce36d1e49ec08eb8c03
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Phillip Isola
- Aude Oliva
- Hanspeter Pfister
- Kate M. Xu
- Alexander Skulmowski
- Nicholas A. Diakopoulos
- Jessica R. Hullman
- Antonio Torralba
In Computer Vision and Pattern Recognition
- Ming-Hsuan Yang
- Luc Van Gool
- Phillip Isola
- Andrew Zisserman
- Trevor Darrell
- Dacheng Tao
- Jitendra Malik
- Andrea Vedaldi
In Experimental and Cognitive Psychology
- Hanspeter Pfister
- Aude Oliva
- Phillip Isola
- Kate M. Xu
- Alexander Skulmowski
- Nicholas A. Diakopoulos
- Jessica R. Hullman
Citations in the corpus
- What Makes a Visualization Memorable? (2013, background): “Moreover, in some studies the visualization targets were designed by the experimenters, introducing inherent biases and over-simplifications [4, 8, 39].”
- Beyond Memorability: Visualization Recognition and Recall (2016, background): “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].”
- Visualization Rhetoric: Framing Effects in Narrative Visualization (2011, background): “Additionally, several studies demonstrate that extra-representational preferences and conventions can influence interpretation, such as when the visual format cues interpretation frames [ 3 ] or individual differences lead to differing visualization usage [56].”
- Understanding Cognitive Load in Digital and Online Learning: a New Perspective on Extraneous Cognitive Load (2021, background): “Again, we should focus on why this particular study found these effects running counter to CLT. Bateman et al. (2010) discuss that the embellishments worked so well because they immediately invoked an emotion that can potentially be memorized alongside the information included in the charts.”