Demo Data from EDBT 2026 / reviewers in the wild / expert
Young Hoon Oh
dblp:165/7016
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0002-9643-5142ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorHuman-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 · 87% 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 |
|---|---|---|---|---|
Human-robot interaction › social robot
companion robots |
0.4 | 1 | 2019 | Investigating Design Elements of Companion Robots for Older Adults · ICRA 2019 |
Human-robot interaction › robot design
robot appearance design |
0.4 | 1 | 2019 | Investigating Design Elements of Companion Robots for Older Adults · ICRA 2019 |
Health and well-being technologies
elderly care |
0.1 | 1 | 2019 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Elderly Users' Interaction with Conversational AgentabstractExploring how users behave when they interact with a conversational agent has been a popular research topic recently. However, very few studies have focused on the unique features of old people's interaction with an agent. In this paper, we report the results of interviews conducted with 19 participants, with ages comprised between 30 and 70 years. The interviews were conducted after the participants used the conversational agent, "Clova" for two weeks. During the interview, the subjects were asked about the frequently used functions and the satisfying and unsatisfying aspects of the agent. In this study, the participants with ages of 50 years or older were classified as older adults, while those under the age of 50 were classified as younger adults. Then we compared the characteristics of these two user groups by conducting a text analysis of the interview script. Our finding indicated that, older adults tended to personify the agent more by using polite words such as 'Grateful', while younger adults tended to consider it as a tool by placing more importance on its convenience; Also, older adults perceived the music function as having a high importance compared to the younger adults. Kyungjin Chung, Young Hoon Oh, Da Young Ju |
HAI | 2 |
| 2019 | Investigating Design Elements of Companion Robots for Older AdultsabstractOlder 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 |
ICRA | 1 |