Demo Data from SIGIR 2026 / reviewers in the wild / expert
Gemma Liu
dblp:215/6678
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous 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 |
Haptics and multimodal interaction · 100% |
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 › haptic feedback
pressure feedback |
0.3 | 1 | 2018 | Shape memory alloy wire actuators for soft, wearable haptic devices · UbiComp 2018 |
Haptics and multimodal interaction › haptic actuator
shape memory alloy actuator |
0.3 | 1 | 2018 | Shape memory alloy wire actuators for soft, wearable haptic devices · UbiComp 2018 |
Haptics and multimodal interaction
wearable haptic device |
0.3 | 1 | 2018 | Shape memory alloy wire actuators for soft, wearable haptic devices · UbiComp 2018 |
Methods — techniques the papers use, named apart from their topics
nonlinear autoregressive neural network · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Shape memory alloy wire actuators for soft, wearable haptic devicesabstractThis paper presents a new approach to implement wearable haptic devices using Shape Memory Alloy (SMA) wires. The proposed concept allows building silent, soft, flexible and lightweight wearable devices, capable of producing the sense of pressure on the skin without any bulky mechanical actuators. We explore possible design considerations and applications for such devices, present user studies proving the feasibility of delivering meaningful information and use nonlinear autoregressive neural networks to compensate for SMA inherent drawbacks, such as delayed onset, enabling us to characterize and predict the physical behavior of the device. George Chernyshov, Benjamin Tag, Cedric Caremel, Feier Cao, Gemma Liu, Kai Kunze |
UbiComp | 5 |