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Hyeong-taek Lim

dblp:00/9256 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

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

Artificial intelligence and machine learning · 2Human-computer interaction and ubiquitous computing · 2

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
2 papers
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
facial expression
0.112012
Personality and facial expressions in human-robot interaction · HRI 2012
Human-robot interaction
anthropomorphism
0.112011
The effect of robot's behavior vs. appearance on communication with humans · HRI 2011

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

between-subjects experiment · 0.3
YearPublicationVenuePosition
2012 Personality and facial expressions in human-robot interaction
abstract
This paper presents the propensities of preference for Human Robot Interaction (HRI) according to different personalities and facial expressions of humans and robots. This study is based on two types of personalities: extroverted and introverted. According to the personality, the facial expressions are distinguished to express extroversion and introversion. The design of experiment is a 3 (participant's group of personality: extrovert, intermediate, introvert) x 2 (robot's groups of personality) between-subjects experiment (N=40) in which participants interact with KMC-EXPR robots expressing either extroversion or introversion. The results showed an unprecedented hypothesis, unexpected implications and certain propensities of preferences.
Soyoung Jung, Hyeong-taek Lim, Sanghun Kwak, Frank A. Biocca
HRI2
2011 The effect of robot's behavior vs. appearance on communication with humans
abstract
This study explores the effect of the robot's appearance vs. behavior (voice and gestures) on the way it is perceived as a machine-like instead of a human-like robot. A between-subjects experiment with four conditions was conducted. Results suggest that both the robot's behavior and appearance are important but, if they are contradictory, the robot's behavior is more powerful than the robot's appearance in the perception of the robot as more machine-like or human-like.
Eunil Park, Hwayeon Kong, Hyeong-taek Lim, Jongsik Lee, Sangseok You, Angel P. del Pobil
HRI3