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Heeyoon Yoon

dblp:289/5939 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Human-robot interaction
nonverbal communication
0.912025
Active Listening and Mirroring: Communication Strategies for Building Trust and Intimacy in Human-Robot Interaction · HRI 2025
Human-robot interaction
social robot
0.912025
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
YearPublicationVenuePosition
2025 Active Listening and Mirroring: Communication Strategies for Building Trust and Intimacy in Human-Robot Interaction
abstract
This 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
HRI1