Demo Data from EDBT 2026 / reviewers in the wild / expert
Jamie Gower
dblp:335/9337
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 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.
| Human-computer interaction and pervasive computing
1 paper |
Immersive interaction · 44% Human-AI interaction · 44% Usability and user experience research · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction › augmented reality
augmented reality annotation |
0.8 | 1 | 2024 | Augmented Reality Annotations for Assisting with Decision-Making and Time-Critical Tasking · ISMAR 2024 |
Human-AI interaction
decision support |
0.8 | 1 | 2024 | Augmented Reality Annotations for Assisting with Decision-Making and Time-Critical Tasking · ISMAR 2024 |
Methods — techniques the papers use, named apart from their topics
comparative study · 0.8annotation design · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Augmented Reality Annotations for Assisting with Decision-Making and Time-Critical TaskingabstractThis research explores various Augmented Reality (AR) annotations for supporting performance and decision-making in a time-critical task. The task was designed in collaboration with defence contacts to mimic a command and control scenario, requiring rapid decisions under time pressure. A set of annotations was derived from previous literature, and modifications were made to suit the tasking requirements. The annotations chosen were based on their level of abstraction from least to most abstract: Animations, StickyNotes, Icons, and Highlights. The study compared five conditions (Animations, StickyNotes, Icons, Highlights, and no annotations) for their effectiveness in supporting performance and decision-making in a time-critical task. StickyNotes was found to be the most effective for supporting performance. The study’s results also identify that annotations for assisting with time-critical tasking should be easy and quick to understand, contain sufficient complexity, and not be too abstract in detail. Jamie Gower, James Baumeister, Bruce H. Thomas, Joanne E. Zucco |
ISMAR | 1 |