Demo Data from EDBT 2026 / reviewers in the wild / expert
Shutaro Aoyama
dblp:332/1395
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0002-1982-243XORCID · reported
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 |
Human-robot interaction · 77% User interface design and tools · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › teleoperation
teleoperation interface |
0.8 | 1 | 2024 | Asynchronously Assigning, Monitoring, and Managing Assembly Goals in Virtual Reality for High-Level Robot Teleoperation · VR 2024 |
Methods — techniques the papers use, named apart from their topics
user study · 0.86dof pose specification · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Asynchronously Assigning, Monitoring, and Managing Assembly Goals in Virtual Reality for High-Level Robot TeleoperationabstractWe present a prototype virtual reality user interface for robot teleoperation that supports high-level specification of 3D object positions and orientations in remote assembly tasks. Users interact with virtual replicas of task objects. They asynchronously assign multiple goals in the form of 6DoF destination poses without needing to be familiar with specific robots and their capabilities, and manage and monitor the execution of these goals. The user interface employs two different spatiotemporal visualizations for assigned goals: one represents all goals within the user’s workspace (Aggregated View), while the other depicts each goal within a separate world in miniature (Timeline View). We conducted a user study of the interface without the robot system to compare how these visualizations affect user efficiency and task load. The results show that while the Aggregated View helped the participants finish the task faster, the participants preferred the Timeline View. Shutaro Aoyama, Jen-Shuo Liu, Portia Wang, Shreeya Jain, Xuezhen Wang, Jingxi Xu 0002, Shuran Song, Barbara Tversky, Steven K. Feiner |
VR | 1 |