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Christine Shin

dblp:44/9255 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2017
—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 · 2Applied, interdisciplinary, general and emerging 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
1 paper
Human-robot interaction · 67% Health and well-being technologies · 33%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
assistive robotics
0.112011
Caregiving intervention for children with autism spectrum disorders using an animal robot · HRI 2011
Health and well-being technologies
autism spectrum disorder intervention
0.112011
Caregiving intervention for children with autism spectrum disorders using an animal robot · HRI 2011
YearPublicationVenuePosition
2017 Language Learning with Mobiles, Social Media and Gamification in Mongolia: Possibilities and Challenges
Hyo-Jeong So, Christine Shin, Lung-Hsiang Wong, Minhwi Seo, Bolor Davaasuren
ICCE2
2013 What makes people empathize with an emotional robot?: The impact of agency and physical embodiment on human empathy for a robot
abstract
As empathy is important for the emotional interaction between a human and a robot, the design factors which induce human empathy toward robots need to be explored. Human empathy toward a robot can be affected by the presence of a robot. Thus, we focused on the levels of agency and the physical embodiment of a robot, which are influential factors pertaining to social presence, by executing two experiments. In the first experiment, in a 2 (levels of agency: mediated vs. simulated) between-participants experiment, participants interacted with either a mediated robot which delivers the emotional state of a remote user or a simulated robot which expresses its own emotion. Participants empathized more with the mediated robot than with the simulated robot, demonstrating that the proper form of an emotional robot is as a mediator during emotional interaction between people. In the second study, in a 2 (physical embodiment: physically embodied vs. physically disembodied) between-participants experiment design, participants interacted with either a physically embodied robot or a physically disembodied robot. The results showed that participants empathized more with a physically embodied robot than with a physically disembodied robot, indicating the impact of physical embodiment on human empathy. Implications for the design of human-robot interactions are discussed.
Sonya S. Kwak, Yunkyung Kim, Eun Ho Kim, Christine Shin, Kwangsu Cho
RO-MAN4
2011 Caregiving intervention for children with autism spectrum disorders using an animal robot
abstract
In this paper, we explore the possibility of using animal robot for teaching social behaviors, especially caregiving behavior to children with Autistic Spectrum Disorders (ASD) and Pervasive Development Disorder (PDD).
Kwangsu Cho, Christine Shin
HRI2