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Seok Jeong Yeon

dblp:151/0208 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology
augmentative and alternative communication
0.212014
Robot-based augmentative and alternative communication for nonverbal children with communication disorders · UbiComp 2014
Human-robot interaction › assistive robotics
robot-assisted therapy
0.212014
Robot-based augmentative and alternative communication for nonverbal children with communication disorders · UbiComp 2014
Health and well-being technologies
communication disability
0.112014
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
YearPublicationVenuePosition
2014 Robot-based augmentative and alternative communication for nonverbal children with communication disorders
abstract
Nonverbal 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
UbiComp2