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So Yon Jeong

dblp:161/3804 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 · 87% Health and well-being technologies · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › social robot
companion robots
0.412019
Investigating Design Elements of Companion Robots for Older Adults · ICRA 2019
Human-robot interaction › robot design
robot appearance design
0.412019
Investigating Design Elements of Companion Robots for Older Adults · ICRA 2019
Health and well-being technologies
elderly care
0.112019
Investigating Design Elements of Companion Robots for Older Adults · ICRA 2019

Methods — techniques the papers use, named apart from their topics

preference analysis · 0.4interview study · 0.4
YearPublicationVenuePosition
2019 Investigating Design Elements of Companion Robots for Older Adults
abstract
Older adults are vulnerable to symptoms of depression. The degree of depression is particularly high among older adults who live alone. To address this issue, various companion robots, which are capable of psychologically communicating with users, have been proposed. However, older adults' preferences on the appearance of these robots have not been systematically investigated; this forms the focus of the present study. We interviewed 191 older adults; investigated their preferences on the design elements of robots including type, weight, and material; and analyzed the data by age, gender, and living arrangement. Our primary goal was to determine how companion robots should be designed, paying special attention to older adults who live alone. Our findings indicated that those living alone prefer a bear-like robot and negative to the heavy robot. Our results suggest that companion robots need to be designed with careful consideration of older adults' physical and psychological preferences.
Young Hoon Oh, Jaewoong Kim, So Yon Jeong, Da Young Ju
ICRA3