Demo Data from EDBT 2026 / reviewers in the wild / expert
Seok Jeong Yeon
dblp:151/0208
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · unresolved
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 |
Human-robot interaction · 44% Accessibility and assistive technology · 44% Health and well-being technologies · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology
augmentative and alternative communication |
0.2 | 1 | 2014 | Robot-based augmentative and alternative communication for nonverbal children with communication disorders · UbiComp 2014 |
Human-robot interaction › assistive robotics
robot-assisted therapy |
0.2 | 1 | 2014 | Robot-based augmentative and alternative communication for nonverbal children with communication disorders · UbiComp 2014 |
Health and well-being technologies
communication disability |
0.1 | 1 | 2014 | Robot-based augmentative and alternative communication for nonverbal children with communication disorders · UbiComp 2014 |
Methods — techniques the papers use, named apart from their topics
intervention study · 0.2humanoid robot · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Robot-based augmentative and alternative communication for nonverbal children with communication disordersabstractNonverbal children with communication disorders have difficulties communicating through oral language. To facilitate communication, Augmentative and Alternative Communication (AAC) is commonly used in intervention settingss. Different forms of AAC have been used; however, one key aspect of AAC is that children have different preferences and needs in the intervention process. One particular AAC method does not necessarily work for all children. Although robots have been used in different applications, this is one of the first times that robots have been used for improvement of communication in nonverbal children. In this work, we explore robot-based AAC through humanoid robots that assist therapists in interventions with nonverbal children. Through playing activities, our study assessed changes in gestures, vocalization, speech, and verbal expression in children. Our initial results show that robot-based AAC intervention has a positive impact on the communication skills of nonverbal children. Kyung Hea Jeon, Seok Jeong Yeon, Seokwoo Song, John Kim 0001 |
UbiComp | 2 |