Demo Data from SIGIR 2026 / reviewers in the wild / expert
Sofia Di Toro Wyetzner
dblp:383/4438
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 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 · 87% Personal fabrication and tangible interfaces · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction › haptic perception
haptic exploration |
0.8 | 1 | 2024 | A Multi-Stable Curved Line Shape Display · ICRA 2024 |
Haptics and multimodal interaction › tactile display
shape display |
0.8 | 1 | 2024 | A Multi-Stable Curved Line Shape Display · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
discrete elastic rod simulation · 0.8circular spline initialization · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | A Multi-Stable Curved Line Shape DisplayabstractShape-changing displays enable real-time visualization and haptic exploration of 3D surfaces. However, many shape-changing displays are composed of individually actuated rigid bodies, which makes them both mechanically complex and unable to form smooth surfaces. In this work, we build a multi-stable curved line display inspired by physical splines. By using circular splines to initialize a discrete elastic rods simulator, we can model multiple stable shapes that fit specific boundary conditions. We then generate actuation instructions based on the circular spline initialization to drive the physical display. We demonstrate our display’s ability to create 16 shapes with 8 different boundary conditions. Our display is consistent in shape output, with an average standard deviation in height of 0.75 mm or 0.47% of the display’s maximum vertical range. We also show that our model is consistent with our display, with a mean RMSE of 6.68 mm or 3.85% of the display’s maximum vertical range for shapes we could stably simulate. We then demonstrate potential scalability by simulating a multi-segment version of the system and show the display’s ability to withstand loads during contour following in haptic exploration. Wing-Sum Adrienne Law, Sofia Di Toro Wyetzner, Raymond Ruihong Zhen, Sean Follmer |
ICRA | 2 |