Demo Data from EDBT 2026 / reviewers in the wild / expert
Annie Suther
dblp:240/0983
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2Human-computer interaction and ubiquitous computing · 2
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
2 papers |
Virtual and augmented reality · 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
immersive interaction |
0.8 | 2 | 2019 | Information Placement in Virtual Reality · VR 2019 Information Placement in Virtual Reality · VR 2019 |
Virtual and augmented reality › augmented reality › augmented reality visualization
information placement |
0.8 | 2 | 2019 | Information Placement in Virtual Reality · VR 2019 Information Placement in Virtual Reality · VR 2019 |
Virtual and augmented reality
eye tracking |
0.2 | 2 | 2019 | Information Placement in Virtual Reality · VR 2019 Information Placement in Virtual Reality · VR 2019 |
Methods — techniques the papers use, named apart from their topics
user study · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Information Placement in Virtual RealityabstractIn this paper, we develop a technique for placing informational labels in complex Virtual Environments (VEs). The ability to effectively and efficiently present labels in VEs is valuable in Virtual Reality (VR) for many reasons, but the motivation is to bring us closer to a system that delivers information in VR in an optimal way without causing information overload. The novelty of this technique lies in the use of eye tracking as an accurate indicator of attention to identifying objects of interest. Labels associated with such objects of interest are revealed when the user attends to them. We conduct a series of experiments to evaluate label placement based on user attention. This investigation is a first step toward integrating attention into information placement strategies in VR. Ann McNamara, Katherine Boyd, Joanne George, Weston Jones, Somyung Oh, Annie Suther |
VR | 6 |
| 2019 | Information Placement in Virtual RealityabstractIn this poster, we develop a technique for placing informational labels in complex Virtual Environments (VEs). The ability to effectively and efficiently present labels in VEs is valuable in Virtual Reality (VR) for many reasons, but the motivation is to bring us closer to a system that delivers information in VR in an optimal way without causing information overload. The novelty of this technique lies in the use of eye tracking as an accurate indicator of attention to identifying objects of interest. Labels associated with such objects of interest are revealed when the user attends to them. We conduct a series of experiments to evaluate label placement based on user attention. This attention is measured using eye tracking. Results show that one method in particular results in 100% accuracy in some scenarios in a search task with little difference in time taken to complete the task. Ann McNamara, Katherine Boyd, Joanne George, Annie Suther, Weston Jones, Somyung Oh |
VR | 4 |