Sara L. Su
Massachusetts Institute of Technology
13 Papers
103 Citations
Sara L. Su is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Visualization & Visual analytics. The author has an hindex of 8, co-authored 13 publications. Previous affiliations of Sara L. Su include Google & Tufts University.
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Papers
How Visualization Layout Relates to Locus of Control and Other Personality Factors
Caroline Ziemkiewicz,Alvitta Ottley,R. J. Crouser,A. R. Yauilla,Sara L. Su,William Ribarsky,Remco Chang +6 more
TL;DR: This work focuses on a personality trait known as "locus of control” (LOC), which represents a person's tendency to see themselves as controlled by or in control of external events, and isolates variables of the visualization design such as color, interaction, and labeling to provide evidence for the externalization theory of visualization.
Understanding Visualization by Understanding Individual Users
TL;DR: Recent research on individual differences in visualization and human-computer interaction is reviewed, showing that both cognitive abilities and personality profiles might significantly affect performance with these tools.
De-emphasis of distracting image regions using texture power maps
Sara L. Su,Frédo Durand,Maneesh Agrawala +2 more
- 26 Aug 2005
TL;DR: One low-level feature that cannot be directly manipulated with existing image-editing software is texture variation, which has been shown to elicit an edge perception similar to that triggered by color discontinuities as discussed by the authors.
Simulating artistic brushstrokes using interval splines
Sara L. Su,Ying-Qing Xu,Heung-Yeung Shum,Falai Chen +3 more
- 01 Jan 2002
TL;DR: A brushstroke model based on a parametric curve, the interval spline, is introduced, which generates artistic strokes that render faster than earlier methods and are also resistant to scaling.
Heapviz: Interactive heap visualization for program understanding and debugging:
TL;DR: Heapviz is presented, a tool for visualizing and exploring snapshots of the heap obtained from a running Java program that presents a global view of the program state as a graph together with powerful interactive capabilities for navigating it.