Demo Data from SIGIR 2026 / reviewers in the wild / expert
Ada Zhang
dblp:86/9968
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2011
0000-0003-4013-1657ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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.
| Artificial intelligence
1 paper |
Robot manipulation · 100% | |
| Computer graphics and multimedia
1 paper |
Audio and music processing · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-robot interaction · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
dexterous manipulation |
0.1 | 1 | 2011 | Musical piano performance by the ACT Hand · ICRA 2011 |
Robotics › Robot manipulation
robotic hand |
0.1 | 1 | 2011 | Musical piano performance by the ACT Hand · ICRA 2011 |
Audio and music processing
music performance |
0.1 | 1 | 2011 | Musical piano performance by the ACT Hand · ICRA 2011 |
Human-robot interaction
musical interaction |
0.0 | 1 | 2011 | Musical piano performance by the ACT Hand · ICRA 2011 |
Methods — techniques the papers use, named apart from their topics
teleoperation · 0.4articulation analysis · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | Musical piano performance by the ACT HandabstractIn the past, the music community conducted research on what makes music more musical or expressive. Much of this work has focused on the manipulation of phrasing, articulation and rubato to make music more expressive. However, it has been difficult to study neuromuscular control used by experts to create such musical music. This paper took a first step toward this effort by using the Anatomically Correct Testbed (ACT) Robotic Hand to mimic the way expert humans play when they are instructed to perform "musically" or "robotically." Results from 22 human subjects showed that musical expression contained a larger range of dynamics and different articulation than robotic expression, while there was no difference in the use of rubato. The ACT Hand was controlled to the level of precision that allowed the replication of expert expressive performance. Its performance was then rated by 17 human listeners against music played by a human expert to show that the ACT Hand could play as musically as an expert human. Furthermore, articulation, phrasing, and rubato were tested in isolation to determine the importance of articulation over phrasing and rubato. This type of study will lead to understanding how to implement future robots to perform musically without pre-programming them, finding ways to teach novice pianists strategies in controlling their muscles to become expressive musicians more quickly, and understanding why humans feel expressiveness or even emotion in music. Ada Zhang, Mark Malhotra, Yoky Matsuoka |
ICRA | 1 |