Demo Data from SIGIR 2026 / reviewers in the wild / expert
Hongxu H. Guo
dblp:274/9660
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 |
Haptics and multimodal interaction · 87% Human-robot interaction · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction
just noticeable difference |
0.4 | 1 | 2020 | Just Noticeable Differences for Joint Torque Feedback During Static Poses · ICRA 2020 |
Haptics and multimodal interaction › haptic feedback
kinesthetic feedback |
0.4 | 1 | 2020 | Just Noticeable Differences for Joint Torque Feedback During Static Poses · ICRA 2020 |
Human-robot interaction › wearable robot
exoskeleton |
0.1 | 1 | 2020 | Just Noticeable Differences for Joint Torque Feedback During Static Poses · ICRA 2020 |
Methods — techniques the papers use, named apart from their topics
psychophysical staircase method · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Just Noticeable Differences for Joint Torque Feedback During Static PosesabstractJoint torque feedback is a new and promising means of kinesthetic feedback for providing information to a person or guiding them during a motion task. However, little work has been done in determining the psychophysical parameters of how well humans can detect external torques. In this study, we determine the human perceptual ability to detect kinesthetic feedback at the elbow during all possible combinations of preload torques and test stimulus torques, with the elbow in a static posture. To accomplish this, we constructed an exoskeleton for the elbow providing joint torque feedback. The device is designed to convey 0.54 Nm of stall torque for up to 120 seconds via a semi-rigid sleeve structure. Using this device, we assessed perception capability using the Interweaving Staircase Method. We found that users could detect average torques of 0.14-0.18 Nm in the extension or flexion directions with no preload. When a preload of 1.27 Nm was applied, this increased to 0.25-0.27 Nm for when flexion stimuli were applied, and 0.180.3 Nm when extension stimuli were applied, depending on the preload direction. Hubert Kim, Hongxu H. Guo, Alan T. Asbeck |
ICRA | 2 |