Demo Data from SIGIR 2026 / reviewers in the wild / expert
Julian Godon
dblp:70/3078
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—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 |
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 |
|---|---|---|---|---|
Interaction techniques and input › pen input
stroke-based input |
0.1 | 1 | 2009 | Kansuke: A logograph look-up interface based on a few modified stroke prototypes · ACM Trans. Comput. Hum. Interact. 2009 |
Interaction techniques and input
text entry |
0.1 | 1 | 2009 | Kansuke: A logograph look-up interface based on a few modified stroke prototypes · ACM Trans. Comput. Hum. Interact. 2009 |
Methods — techniques the papers use, named apart from their topics
user evaluation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Kansuke: A logograph look-up interface based on a few modified stroke prototypesabstractWe have developed a method that makes it easier for language novices to look up Japanese and Chinese logographs. Instead of using the arbitrary conventions of logographs, this method is based on three simple prototypes: horizontal, vertical, and other strokes. For example, the code for the logograph ⊞ ( ta , meaning rice field) is 3-3-0, indicating the logograph consists of three horizontal strokes and three vertical strokes. Such codes allow a novice to look up logographs even with no knowledge of the logographic conventions used by native speakers. To make the search easier, a complex logograph can be looked up via the components making up the logograph. We conducted a user evaluation of this system and found that novices could look up logographs with fewer failures with our system than with conventional methods. Kumiko Tanaka-Ishii, Julian Godon |
ACM Trans. Comput. Hum. Interact. | 2 |