Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jorn Verheggen
dblp:353/5746
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 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 |
Haptics and multimodal interaction · 91% Human-robot interaction · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction
haptic feedback |
0.7 | 1 | 2023 | KRIS: A Novel Device for Kinesthetic Corrective Feedback during Robot Motion · ICRA 2023 |
Haptics and multimodal interaction › haptic feedback
kinesthetic feedback |
0.7 | 1 | 2023 | KRIS: A Novel Device for Kinesthetic Corrective Feedback during Robot Motion · ICRA 2023 |
Haptics and multimodal interaction › haptic feedback
passive haptic feedback |
0.7 | 1 | 2023 | KRIS: A Novel Device for Kinesthetic Corrective Feedback during Robot Motion · ICRA 2023 |
Methods — techniques the papers use, named apart from their topics
user study · 0.7usability evaluation · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | KRIS: A Novel Device for Kinesthetic Corrective Feedback during Robot MotionabstractThis paper presents a novel device that can be used to perform kinesthetic corrective feedback for robotic systems. KRIS (Kinesthetic Robotic Interaction System) is a device that can be mounted on the end-effector of an articulated robot. From here it can be manipulated by a human to give corrective feedback to the robot system during execution and in an intuitive way. The device can provide feedback in six degrees of freedom while giving passive haptic feedback to the user about both the position, rotation, and movement of the robot. We evaluated KRIS in a user study with respect to a baseline based on keyboard feedback in the areas of usability, intuitiveness, accuracy of corrections, and user task load. KRIS outperformed our baseline on the first three metrics and performed similar on task load. We believe that KRIS can enable a wide variety of robots to be taught interactively by non-expert humans in diverse collaborative settings. Jorn Verheggen, Kim Baraka |
ICRA | 1 |