Demo Data from EDBT 2026 / reviewers in the wild / expert
Constance May Bainbridge
dblp:170/1615
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 50% Virtual and augmented reality · 50% | |
| Human-computer interaction and pervasive computing
1 paper |
User interface design and tools · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality
eye tracking |
0.2 | 1 | 2016 | Beyond Memorability: Visualization Recognition and Recall · IEEE Trans. Vis. Comput. Graph. 2016 |
Visualization and visual analytics
memorability |
0.2 | 1 | 2016 | Beyond Memorability: Visualization Recognition and Recall · IEEE Trans. Vis. Comput. Graph. 2016 |
User interface design and tools
design guidelines |
0.1 | 1 | 2016 | Beyond Memorability: Visualization Recognition and Recall · IEEE Trans. Vis. Comput. Graph. 2016 |
Methods — techniques the papers use, named apart from their topics
text description analysis · 0.5eye movement analysis · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Beyond Memorability: Visualization Recognition and RecallabstractIn this paper we move beyond memorability and investigate how visualizations are recognized and recalled. For this study we labeled a dataset of 393 visualizations and analyzed the eye movements of 33 participants as well as thousands of participant-generated text descriptions of the visualizations. This allowed us to determine what components of a visualization attract people's attention, and what information is encoded into memory. Our findings quantitatively support many conventional qualitative design guidelines, including that (1) titles and supporting text should convey the message of a visualization, (2) if used appropriately, pictograms do not interfere with understanding and can improve recognition, and (3) redundancy helps effectively communicate the message. Importantly, we show that visualizations memorable "at-a-glance" are also capable of effectively conveying the message of the visualization. Thus, a memorable visualization is often also an effective one. Michelle Borkin, Zoya Bylinskii, Constance May Bainbridge, Chelsea S. Yeh, Daniel Borkin, Hanspeter Pfister, Aude Oliva |
IEEE Trans. Vis. Comput. Graph. | 4 |