EDBT 2026 Demo / reviewers in the wild / expert
Greg Woodin
dblp:311/2815
· DBLP profile ↗
4ranked-venue papers
2as first author
4since 2021 · last 2024
0000-0001-7992-4991ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 1 first-author · 3 since 2021Applied, interdisciplinary, general and emerging computing · 3 · 1 first-author · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
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 · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Usability and user experience research · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
graphical perception |
0.6 | 1 | 2022 | Conceptual Metaphor and Graphical Convention Influence the Interpretation of Line Graphs · IEEE Trans. Vis. Comput. Graph. 2022 |
Visualization and visual analytics › visual analytics
visual encoding and interaction |
0.6 | 1 | 2022 | Conceptual Metaphor and Graphical Convention Influence the Interpretation of Line Graphs · IEEE Trans. Vis. Comput. Graph. 2022 |
Usability and user experience research
user study |
0.2 | 1 | 2022 | Conceptual Metaphor and Graphical Convention Influence the Interpretation of Line Graphs · IEEE Trans. Vis. Comput. Graph. 2022 |
Methods — techniques the papers use, named apart from their topics
controlled experiment · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Goal bias in using spatial language to describe changing quantities
Vinicius Macuch Silva, Alexandra Lorson, Greg Woodin, Bodo Winter |
CogSci | 3 |
| 2024 | Rounding and magnitude: Pragmatic halos are bigger for larger numbers
Bodo Winter, Greg Woodin, Alexandra Lorson |
CogSci | 2 |
| 2024 | Numbers in context: Cardinals, ordinals, and nominals
Greg Woodin, Bodo Winter |
CogSci | 1 |
| 2022 | Conceptual Metaphor and Graphical Convention Influence the Interpretation of Line GraphsabstractMany metaphors in language reflect conceptual metaphors that structure thought. In line with metaphorical expressions such as 'high number', experiments show that people associate larger numbers with upward space. Consistent with this metaphor, high numbers are conventionally depicted in high positions on the y-axis of line graphs. People also associate good and bad (emotional valence) with upward and downward locations, in line with metaphorical expressions such as 'uplifting' and 'down in the dumps'. Graphs depicting good quantities (e.g., vacation days) are consistent with graphical convention and the valence metaphor, because 'more' of the good quantity is represented by higher y-axis positions. In contrast, graphs depicting bad quantities (e.g., murders) are consistent with graphical convention, but not the valence metaphor, because more of the bad quantity is represented by higher (rather than lower) y-axis positions. We conducted two experiments (N = 300 per experiment) where participants answered questions about line graphs depicting good and bad quantities. For some graphs, we inverted the conventional axis ordering of numbers. Line graphs that aligned (versus misaligned) with valence metaphors (up = good) were easier to interpret, but this beneficial effect did not outweigh the adverse effect of inverting the axis numbering. Line graphs depicting good (versus bad) quantities were easier to interpret, as were graphs that depicted quantity using the x-axis (versus y-axis). Our results suggest that conceptual metaphors matter for the interpretation of line graphs. However, designers of line graphs are warned against subverting graphical convention to align with conceptual metaphors. Greg Woodin, Bodo Winter, Lace M. K. Padilla |
IEEE Trans. Vis. Comput. Graph. | 1 |