Demo Data from SIGIR 2026 / reviewers in the wild / expert
Seyun Jang
dblp:237/8492
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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.
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computing education · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computing education › robotics education
robot programming education |
0.1 | 1 | 2019 | MOCCA Studio: a Graphical Tool for High-Level Programming of Human-Robot Social Interaction · HRI 2019 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.8cloud-based IDE · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | MOCCA Studio: a Graphical Tool for High-Level Programming of Human-Robot Social InteractionabstractIn this paper, we introduce a handy and affordable solution we are developing, for education of human-robot social interaction. The solution consists of a smart device-controlled robot with a 3D printed body, a cloud-based integrated development environment that provides intuitive programming and simulation of the robot, and embedded functions enabling intelligent, natural response of the robot. The outline and architecture of the proposed system are briefly explained. Seyun Jang, Hye-Kyung Cho |
HRI | 2 |