EDBT 2026 Demo / reviewers in the wild / expert
Archit Tamhane
dblp:387/5321
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0008-1541-3699ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 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 · 61% Interaction techniques and input · 39% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Haptics and multimodal interaction › electrical stimulation
electrical muscle stimulation |
0.8 | 1 | 2024 | Can a Smartwatch Move Your Fingers? Compact and Practical Electrical Muscle Stimulation in a Smartwatch · UIST 2024 |
Haptics and multimodal interaction › haptic feedback
force feedback |
0.8 | 1 | 2024 | Can a Smartwatch Move Your Fingers? Compact and Practical Electrical Muscle Stimulation in a Smartwatch · UIST 2024 |
Interaction techniques and input › mobile interaction › wearable device interaction
smartwatch interaction |
0.8 | 1 | 2024 | Can a Smartwatch Move Your Fingers? Compact and Practical Electrical Muscle Stimulation in a Smartwatch · UIST 2024 |
Interaction techniques and input › touch interaction
finger input |
0.2 | 1 | 2024 | Can a Smartwatch Move Your Fingers? Compact and Practical Electrical Muscle Stimulation in a Smartwatch · UIST 2024 |
Methods — techniques the papers use, named apart from their topics
user study · 0.8electrical muscle stimulation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Can a Smartwatch Move Your Fingers? Compact and Practical Electrical Muscle Stimulation in a SmartwatchabstractSmartwatches gained popularity in the mainstream, making them into today’s de-facto wearables. Despite advancements in sensing, haptics on smartwatches is still restricted to tactile feedback (e.g., vibration). Most smartwatch-sized actuators cannot render strong force-feedback. Simultaneously, electrical muscle stimulation (EMS) promises compact force-feedback but, to actuate fingers requires users to wear many electrodes on their forearms. While forearm electrodes provide good accuracy, they detract EMS from being a practical force-feedback interface. To address this, we propose moving the electrodes to the wrist—conveniently packing them in the backside of a smartwatch. In our first study, we found that by cross-sectionally stimulating the wrist in 1,728 trials, we can actuate thumb extension, index extension & flexion, middle flexion, pinky flexion, and wrist flexion. Following, we engineered a compact EMS that integrates directly into a smartwatch’s wristband (with a custom stimulator, electrodes, demultiplexers, and communication). In our second study, we found that participants could calibrate our device by themselves <?TeX $\sim 50 \%$?> Math 1 faster than with conventional EMS. Furthermore, all participants preferred the experience of this device, especially for its social acceptability & practicality. We believe that our approach opens new applications for smartwatch-based interactions, such as haptic assistance during everyday tasks. Akifumi Takahashi, Yudai Tanaka, Archit Tamhane, Alan Shen, Shan-Yuan Teng, Pedro Lopes 0001 |
UIST | 3 |