Demo Data from VLDB 2026 / reviewers in the wild / expert
Shinji Miyahara
dblp:86/7896
· DBLP profile ↗
3ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-1950-8619ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging 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 |
Learning and educational technologies · 56% Haptics and multimodal interaction · 44% |
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 › electrical stimulation
electrical muscle stimulation |
0.6 | 1 | 2022 | Muscle Synergies Learning with Electrical Muscle Stimulation for Playing the Piano · UIST 2022 |
Learning and educational technologies › skill acquisition
motor skill learning |
0.6 | 1 | 2022 | Muscle Synergies Learning with Electrical Muscle Stimulation for Playing the Piano · UIST 2022 |
Learning and educational technologies
skill training |
0.2 | 1 | 2022 | Muscle Synergies Learning with Electrical Muscle Stimulation for Playing the Piano · UIST 2022 |
Methods — techniques the papers use, named apart from their topics
user study · 0.6electrical muscle stimulation · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Muscle Synergies Learning with Electrical Muscle Stimulation for Playing the PianoabstractWhen playing scales on the piano, playing all notes evenly is a basic technique to improve the quality of music. However, it is difficult for beginners to do this because they need to achieve appropriate muscle synergies of the forearm and shoulder muscles, i.e., pressing keys as well as sliding their hands sideways. In this paper, we propose a system using electrical muscle stimulation (EMS) to teach beginners how to improve their muscle synergies while playing scales. We focus on “thumb-under” method and assist with it by applying EMS to the deltoid muscle. We conducted a user study to investigate whether our EMS-based system can help beginners learn new muscle synergies in playing ascending scales. We divided the participants into two groups: an experimental group that practiced with EMS and a control group that practiced without EMS. The results showed that practicing with EMS was more effective in improving the evenness of scales than without EMS and that the muscle synergies changed after practicing. Arinobu Niijima, Toki Takeda, Ryosuke Aoki, Shinji Miyahara |
UIST | 4 |
| 2013 | A Framework for supporting the development of Multi-Screen Web ApplicationsabstractSince more and more devices are now network connectable, a user can enjoy one service on two or more devices. For example, a smart phone is used to operate the TV, or move a game currently displayed on the TV to the same smart phone, and continue playing the game. In order to realize these transferable services, developers must control communication between multiple devices. This greatly increases the development costs compared to single screen web applications. Factors include increases in code quantity and skill demanded from the developers. In this paper, we propose a framework that greatly simplifies the development of multi-screen web applications with JavaScript. We prototype the framework, and compare the proposal to an existing approach in terms of development cost. The results show that our framework allows developers to build multi-screen web applications with much less effort and time than the existing framework. Maiko Imoto, Yasuhiko Miyazaki, Tetsuro Tokunaga, Kiyoshi Tanaka, Shinji Miyahara |
iiWAS | 5 |
| 2007 | Discovery Search System That Supports the User's Interest Using the Referrals of Other UsersabstractIn this article, we propose a navigation system that interests users in contents, based on information on Web site visits and usage. The system guides users to tourist spots by applying a referral system. In cooperation with travel agencies, we verified the system by opening it to Internet access. Moreover, we extend the system to resolve the problems identified in the evaluation results. Shinji Miyahara, Toru Sadakata, Hidenori Okuda, Masahiro Oku |
Int. J. Hum. Comput. Interact. | 1 |