Demo Data from SIGIR 2026 / reviewers in the wild / expert
Gary Chien
dblp:148/3802
· DBLP profile ↗
3ranked-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 · 2Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging 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 |
Immersive interaction · 44% Human-robot interaction · 28% User interface design and tools · 28% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
User interface design and tools
end-user programming |
0.4 | 1 | 2019 | End-User Robot Programming Using Mixed Reality · ICRA 2019 |
Immersive interaction › mixed reality interaction
mixed reality interface |
0.4 | 1 | 2019 | End-User Robot Programming Using Mixed Reality · ICRA 2019 |
Human-robot interaction
robot programming |
0.4 | 1 | 2019 | End-User Robot Programming Using Mixed Reality · ICRA 2019 |
Immersive interaction
head-mounted display |
0.1 | 1 | 2019 | End-User Robot Programming Using Mixed Reality · ICRA 2019 |
Immersive interaction
mixed reality |
0.1 | 1 | 2019 | End-User Robot Programming Using Mixed Reality · ICRA 2019 |
Methods — techniques the papers use, named apart from their topics
waypoint-based programming · 0.4user study · 0.4mixed reality · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | End-User Robot Programming Using Mixed RealityabstractMixed Reality (MR) is a promising interface for robot programming because it can project an immersive 3D visualization of a robot's intended movement onto the real world. MR can also support hand gestures, which provide an intuitive way for users to construct and modify robot motions. We present a Mixed Reality Head-Mounted Display (MRHMD) interface that enables end-users to easily create and edit robot motions using waypoints. We describe a user study where 20 participants were asked to program a robot arm using 2D and MR interfaces to perform two pick-and-place tasks. In the primitive task, participants created typical pickand-place programs. In the adapted task, participants adapted their primitive programs to address a more complex pickand-place scenario, which included obstacles and conditional reasoning. Compared to the 2D interface, a higher number of users were able to complete both tasks in significantly less time, and reported experiencing lower cognitive workload, higher usability, and higher naturalness with the MR-HMD interface. Samir Yitzhak Gadre, Eric Rosen, Gary Chien, Elizabeth Phillips, Stefanie Tellex, George Dimitri Konidaris |
ICRA | 3 |
| 2017 | Communicating Robot Arm Motion Intent Through Mixed Reality Head-Mounted Displays
Eric Rosen, David Whitney, Elizabeth Phillips, Gary Chien, James Tompkin 0001, George Dimitri Konidaris, Stefanie Tellex |
ISRR | 4 |
| 2012 | The use of NLP for timely and accurate identification and extraction of disease characteristics of prostate cancer patients from the electronic medical records
Chengyi Zheng, Anil Thomas, Howard Jung, Joy Gelfond, Jeffrey Slezak, Kimberly Porter, Steven Jacobsen, Gary Chien |
AMIA | 8 |