Demo Data from SIGIR 2026 / reviewers in the wild / expert
Gabriel Roque
dblp:79/11233
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 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 |
Virtual and augmented reality · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 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 |
0.2 | 1 | 2016 | Batmen - Hybrid collaborative object manipulation using mobile devices · VR 2016 |
Virtual and augmented reality › multi-user interaction
collaborative object manipulation |
0.2 | 1 | 2016 | Batmen - Hybrid collaborative object manipulation using mobile devices · VR 2016 |
Interaction techniques and input
touch and gesture input |
0.1 | 1 | 2016 | Batmen - Hybrid collaborative object manipulation using mobile devices · VR 2016 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Batmen - Hybrid collaborative object manipulation using mobile devicesabstractIn this work we present an interactive and collaborative 3D object manipulation system using the shelf mobile devices coupled with Augmented Reality (AR) technology that allows multiple users to collaborate concurrently on a scene. Each user interested in participating in this collaboration uses both a mobile device running android and a desktop (or laptop) working in tandem. The 3D scene was visualized by the user in the desktop system. The changes in the scene viewpoint changes and the object manipulations were performed using a mobile device through the AR. The system leverages user's knowledge of common tasks performed on current mobile devices such as pinching for zooming in and out; swiping with one or two fingers for object rotation and press-and-hold for 2 seconds for object translation. As you will see in this video, we built a prototype system (in a maze style) and applied an informal user study with three experienced VR researchers. Users had to carry a 3D cube through three square rings along the maze. In resume, we diagnosed that working in a collaborative way (users A and B) was better and easier than individual one (user C). We registered more than 2 minutes late for the individual experience comparing to the teamwork. It may happen because the two player team shared information, functions and had a multi-perspective view during the task. Marcio Cabral, Gabriel Roque, Mario Nagamura, Andre Montes, Eduardo Zilles Borba, Celso Setsuo Kurashima, Marcelo Knörich Zuffo |
VR | 2 |