Demo Data from EDBT 2026 / reviewers in the wild / expert
Abdelhadi Lammini
dblp:339/8817
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—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 since 2021Human-computer interaction and ubiquitous computing · 1 · 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 |
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 › augmented reality
collaborative augmented reality |
0.7 | 1 | 2023 | ARPuzzle: Evaluating the Effectiveness of Collaborative Augmented Reality · ISMAR 2023 |
Virtual and augmented reality › augmented reality
remote collaboration |
0.7 | 1 | 2023 | ARPuzzle: Evaluating the Effectiveness of Collaborative Augmented Reality · ISMAR 2023 |
Virtual and augmented reality
avatar |
0.2 | 1 | 2023 | ARPuzzle: Evaluating the Effectiveness of Collaborative Augmented Reality · ISMAR 2023 |
Methods — techniques the papers use, named apart from their topics
user study · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | ARPuzzle: Evaluating the Effectiveness of Collaborative Augmented RealityabstractCollaborative Augmented Reality (CAR) offers disruptive ways for people to collaborate. However, this emerging technology must improve its acceptance, efficiency, and usability to scale up and, for example, support augmented operations executed by technicians. This paper presents our CAR system and its experimentation during a cooperative puzzle-solving task. Our system provides collaborators with a shared virtual space allowing verbal and non-verbal interpersonal communications, and intuitive interactions with shared virtual replicas of real objects. Our system also integrates avatars embodied by remote users. We conducted a dual-user study comparing colocated and remote solving of a puzzle virtual replica with its real solving. We evaluated task performance, collaboration, mutual awareness, spatial presence, and copresence, usability, and preference. We found that, if real is preferred and more efficient than our CAR system, CAR is reaching favorable usability levels. We also found that remote augmented reality including full-body avatars offers similar results to colocated augmented reality. This preliminary work paves the way for future research aiming to support and enhance the design and making of Collaborative Augmented Reality systems dedicated to augmented operations. Guillaume Bataille, Abdelhadi Lammini, Jean-Rémy Chardonnet |
ISMAR | 2 |