Demo Data from EDBT 2026 / reviewers in the wild / expert
Rüdiger Leibrandt
dblp:87/7981
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—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 · 70% Learning and educational technologies · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Learning and educational technologies › music education
music learning |
0.1 | 1 | 2010 | Mobile music touch: mobile tactile stimulation for passive learning · CHI 2010 |
Haptics and multimodal interaction › haptics
passive haptic learning |
0.1 | 1 | 2010 | Mobile music touch: mobile tactile stimulation for passive learning · CHI 2010 |
Haptics and multimodal interaction
tactile stimulation |
0.1 | 1 | 2010 | Mobile music touch: mobile tactile stimulation for passive learning · CHI 2010 |
Haptics and multimodal interaction
wearable haptic device |
0.0 | 1 | 2010 | Mobile music touch: mobile tactile stimulation for passive learning · CHI 2010 |
Methods — techniques the papers use, named apart from their topics
user study · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Mobile music touch: mobile tactile stimulation for passive learningabstractMobile Music Touch (MMT) helps teach users to play piano melodies while they perform other tasks. MMT is a lightweight, wireless haptic music instruction system consisting of fingerless gloves and a mobile Bluetooth enabled computing device, such as a mobile phone. Passages to be learned are loaded into the mobile phone and are played repeatedly while the user performs other tasks. As each note of the music plays, vibrators on each finger in the gloves activate, indicating which finger is used to play each note. We present two studies on the efficacy of MMT. The first measures 16 subjects' ability to play a passage after using MMT for 30 minutes while performing a reading comprehension test. The MMT system was significantly more effective than a control condition where the passage was played repeatedly but the subjects' fingers were not vibrated. The second study compares the amount of time required for 10 subjects to replay short, randomly generated passages using passive training versus active training. Participants with no piano experience could repeat the passages after passive training while subjects with piano experience often could not. Kevin Huang 0003, Thad Starner, Ellen Yi-Luen Do, Gil Weinberg, Daniel Kohlsdorf, Claas Ahlrichs, Rüdiger Leibrandt |
CHI | 7 |