Demo Data from SIGIR 2026 / reviewers in the wild / expert
Hans-Christoph Steiner
dblp:58/1880
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
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.
| Computer graphics and multimedia
1 paper |
Audio and music processing · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Audio and music processing
music performance |
0.1 | 1 | 2005 | [hid] toolkit: a unified framework for instrument design · ACM Multimedia 2005 |
Interaction techniques and input
gesture input |
0.1 | 1 | 2005 | [hid] toolkit: a unified framework for instrument design · ACM Multimedia 2005 |
Methods — techniques the papers use, named apart from their topics
human interface device integration · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | [hid] toolkit: a unified framework for instrument designabstractThe [hid] toolkit is a set of software objects for designing gestural instruments. All too frequently, computer performers are tied to the keyboard/mouse/monitor model, narrowly constraining the range of possible gestures. A multitude of off-the-shelf input devices are readily available, making it easy to utilize a broader range of gestures. Human Interface Devices (HIDs) such as joysticks, tablets, and gamepads are cheap and can be good musical controllers, with some even provide haptic feedback. The [hid] toolkit provides a unified, consistent framework for getting gestural data from these devices, controlling the feedback, and mapping this data to the desired output. The [hid] toolkit is built in Pd, which provides an ideal platform for this work, combining the ability to synthesize and control audio, video, and other media. The addition of easy access to gestural data allows for rapid prototypes. A usable environment also makes computer music instrument design accessible to novices. Hans-Christoph Steiner |
ACM Multimedia | 1 |