Demo Data from VLDB 2026 / reviewers in the wild / expert
Heeyoon Yoon
dblp:289/5939
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021
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 · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
nonverbal communication |
0.9 | 1 | 2025 | Active Listening and Mirroring: Communication Strategies for Building Trust and Intimacy in Human-Robot Interaction · HRI 2025 |
Human-robot interaction
social robot |
0.9 | 1 | 2025 | Active Listening and Mirroring: Communication Strategies for Building Trust and Intimacy in Human-Robot Interaction · HRI 2025 |
Methods — techniques the papers use, named apart from their topics
user study · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Active Listening and Mirroring: Communication Strategies for Building Trust and Intimacy in Human-Robot InteractionabstractThis study investigates the impact of active listening and mirroring behaviors on intimacy and trust in human-robot interaction. Based on the principles of effective human communication, active listening and mirroring were adapted for robotic systems to enhance relationship dynamics like intimacy, negative attitudes, and trust. The experimental setup involved a social robot to exhibit non-verbal cues that aligned with active listening and mirroring during interactions in the cooking scenario. The participants experienced two conditions: active listening and active listening with mirroring. The results indicated that the combination of active listening with mirroring significantly enhances intimacy and perceived trust compared to active listening only, while there is no significant difference in reducing negative attitudes. These findings suggest that incorporating non-verbal cues can substantially improve engagement in human-robot interactions, making robots more relatable and trustworthy companions. Heeyoon Yoon, Min-Gyu Kim 0004, SunKyoung Kim 0001 |
HRI | 1 |