Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yonas Sahlemariam Haile
dblp:137/2142
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—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 · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
information visualization |
0.2 | 1 | 2013 | Information Visualization and Proxemics: Design Opportunities and Empirical Findings · IEEE Trans. Vis. Comput. Graph. 2013 |
Visualization and visual analytics
interaction techniques |
0.2 | 1 | 2013 | Information Visualization and Proxemics: Design Opportunities and Empirical Findings · IEEE Trans. Vis. Comput. Graph. 2013 |
Interaction techniques and input › spatial interaction
proxemic interaction |
0.2 | 1 | 2013 | Information Visualization and Proxemics: Design Opportunities and Empirical Findings · IEEE Trans. Vis. Comput. Graph. 2013 |
Visualization and visual analytics › display technology
large display |
0.0 | 1 | 2013 | Information Visualization and Proxemics: Design Opportunities and Empirical Findings · IEEE Trans. Vis. Comput. Graph. 2013 |
Methods — techniques the papers use, named apart from their topics
user study · 0.3position tracking · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Information Visualization and Proxemics: Design Opportunities and Empirical FindingsabstractPeople typically interact with information visualizations using a mouse. Their physical movement, orientation, and distance to visualizations are rarely used as input. We explore how to use such spatial relations among people and visualizations (i.e., proxemics) to drive interaction with visualizations, focusing here on the spatial relations between a single user and visualizations on a large display. We implement interaction techniques that zoom and pan, query and relate, and adapt visualizations based on tracking of users' position in relation to a large high-resolution display. Alternative prototypes are tested in three user studies and compared with baseline conditions that use a mouse. Our aim is to gain empirical data on the usefulness of a range of design possibilities and to generate more ideas. Among other things, the results show promise for changing zoom level or visual representation with the user's physical distance to a large display. We discuss possible benefits and potential issues to avoid when designing information visualizations that use proxemics. Mikkel Rønne Jakobsen, Yonas Sahlemariam Haile, Søren Knudsen, Kasper Hornbæk |
IEEE Trans. Vis. Comput. Graph. | 2 |