Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yuto Yamaji
dblp:23/7940
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorHuman-computer interaction and ubiquitous computing · 2 · 1 first-authorGraphics, 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.
| Human-computer interaction and pervasive computing
2 papers |
Human-robot interaction · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
social robot |
0.2 | 2 | 2010 | Sociable trash box · HRI 2010 STB: human-dependent sociable trash box · HRI 2010 |
Human-robot interaction › social human-robot interaction
social rapport |
0.1 | 2 | 2010 | STB: human-dependent sociable trash box · HRI 2010 Sociable trash box · HRI 2010 |
Human-robot interaction
child-robot interaction |
0.1 | 1 | 2010 | STB: human-dependent sociable trash box · HRI 2010 |
Human-robot interaction › social robot
persuasive robot |
0.1 | 1 | 2010 | Sociable trash box · HRI 2010 |
Methods — techniques the papers use, named apart from their topics
vocalizations · 0.1interactive behaviors · 0.1field study · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Online Handwritten Stroke Type Determination Using Descriptors Based on Spatially and Temporally Neighboring StrokesabstractWe investigate the task of single-stroke classification into one of three classes (text, figure, or table rule lines). Individual strokes form handwriting structures such as text lines, figures, and tables in combination with peripheral strokes. To classify strokes using local contexts of neighborhood strokes, we propose a composite descriptor that represents in detail the relation between individual strokes and temporal and spatial neighborhood strokes. Evaluation of online handwritten documents written in English and in Japanese indicate that the proposed method more accurately classifies strokes than does the conventional method that employs shape-related features of a single stroke. Yuto Yamaji, Tomoyuki Shibata, Yojiro Tonouchi |
ICFHR | 1 |
| 2010 | STB: human-dependent sociable trash boxabstractWe developed a Sociable Trash Box (STB) as a children-assisted robot able to collect the trash in order to convey its intentional stance to children. The STB is capable of engaging manifold affiliation behaviors to build a social rapport with children by collecting the trash around their environment. In particular, the STB is a child-dependent robot that walks alone in a public space for tracing humans and trash for the purpose of collecting the trash. The robot is incapable of collecting the trash by itself, and it engages by using interactive behaviors and vocalizations to make a social coupling with children based on the robot's anticipation to accomplish its goal. The present experiment investigates how STB behaviors are effective in conveying intentions to evoke children's social interactions and to assist in collecting the trash in their environment. Yuto Yamaji, Taisuke Miyake, Yuta Yoshiike, P. Ravindra De Silva, Michio Okada |
HRI | 1 |
| 2010 | Sociable trash boxabstractThe STB is capable of engaging manifold affiliation behaviors to build a social rapport toward the goal of collecting trash around an environment. In particular, STB is a child-dependent robot that walks alone in a public space for the purpose of tracing humans and trash and to collect the trash. In a crowded space, STBs move toward the trash by engaging with an attractive twisting motion (behaviors) and vocal interaction to convey STB's intention to children. Our STB robot is incapable of collecting the trash by itself. In this sense, children have to infer a robot's intentional stance or expectation for interaction with the STB. To collect trash while creating social rapport with children is a novel concept. The STB engages with twisting and bowing motions when children put trash into an STB container. Yuta Yoshiike, Yuto Yamaji, Taisuke Miyake, P. Ravindra De Silva, Michio Okada |
HRI | 2 |