Greg Woodin

dblp:311/2815 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Visualization and visual analytics
graphical perception
0.612022
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
0.612022
Conceptual Metaphor and Graphical Convention Influence the Interpretation of Line Graphs · IEEE Trans. Vis. Comput. Graph. 2022
Usability and user experience research
user study
0.212022
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
YearPublicationVenuePosition
2024 Goal bias in using spatial language to describe changing quantities
Vinicius Macuch Silva, Alexandra Lorson, Greg Woodin, Bodo Winter
CogSci3
2024 Rounding and magnitude: Pragmatic halos are bigger for larger numbers
Bodo Winter, Greg Woodin, Alexandra Lorson
CogSci2
2024 Numbers in context: Cardinals, ordinals, and nominals
Greg Woodin, Bodo Winter
CogSci1
2022 Conceptual Metaphor and Graphical Convention Influence the Interpretation of Line Graphs
abstract
Many 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