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4,422 results on '"Kim, Hyun-Jin"'

2. Effectiveness of a Participatory and Interactive Virtual Reality Intervention in Patients With Social Anxiety Disorder: Longitudinal Questionnaire Study

Author

Kim, Hyun-Jin, Lee, Seulki, Jung, Dooyoung, Hur, Ji-Won, Lee, Heon-Jeong, Lee, Sungkil, Kim, Gerard J, Cho, Chung-Yean, Choi, Seungmoon, Lee, Seung-Moo, and Cho, Chul-Hyun

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract

BackgroundSocial anxiety disorder (SAD) is characterized by excessive fear of negative evaluation and humiliation in social interactions and situations. Virtual reality (VR) treatment is a promising intervention option for SAD. ObjectiveThe purpose of this study was to create a participatory and interactive VR intervention for SAD. Treatment progress, including the severity of symptoms and the cognitive and emotional aspects of SAD, was analyzed to evaluate the effectiveness of the intervention. MethodsIn total, 32 individuals with SAD and 34 healthy control participants were enrolled in the study through advertisements for online bulletin boards at universities. A VR intervention was designed consisting of three stages (introduction, core, and finishing) and three difficulty levels (easy, medium, and hard) that could be selected by the participants. The core stage was the exposure intervention in which participants engaged in social situations. The effectiveness of treatment was assessed through Beck Anxiety inventory (BAI), State‐Trait Anxiety Inventory (STAI), Internalized Shame Scale (ISS), Post-Event Rumination Scale (PERS), Social Phobia Scale (SPS), Social Interaction Anxiety Scale (SIAS), Brief-Fear of Negative Evaluation Scale (BFNE), and Liebowitz Social Anxiety Scale (LSAS). ResultsIn the SAD group, scores on the BAI (F=4.616, P=.009), STAI-Trait (F=4.670, P=.004), ISS (F=6.924, P=.001), PERS-negative (F=1.008, P

Published
2020
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3. Network Brokerage and Self-Rated Popularity among Lao School-Based Children: Findings from Primary Survey Data

Author

Kim, Harris Hyun-soo, Chun, JongSerl, and Kim, Hyun Jin

Abstract

This study examines whether and how an individual's subjective, or self-rated, popularity is related to one's structural position in the peer network, as measured by betweenness centrality and structural hole measure. Data were drawn from the original fieldwork conducted in Laos (N = 1,490; boys = 40%; M[subscript age] = 13), a low-income country in Southeast Asia. Using friendship nominations, we constructed a global network matrix based on which sociometric variables were calculated. Findings from hierarchical linear models showed that net of sociometric and other controls, "network brokers"--those who span more structural holes or bridge across more disconnected dyads pairs--indeed perceive themselves as being "more popular." Subjective, net of objective, measure of popularity should be incorporated as a critical component in the lives of young people.

Published
2024
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19. Prosodic Information in the Resolution of Relative Clause Attachment Ambiguity in L2 Sentence Processing

Author

Kim, Hyun-Jin

Abstract

This study investigates the nature of L2 sentence processing mechanisms by examining whether or to what extent the sensitivity to prosody would affect the resolution of relative clause attachment ambiguity. The study examines how native speakers of a high attachment language would resolve the attachment ambiguity of their second language which has the opposite preference. Twelve Korean-speaking L2 learners of English and twelve native English speakers participated in a listening task to examine the effect of different types of prosodic information, such as prosodic boundary and focal prominence, along with a silent-reading task. The results showed that L2 learners' high attachment preferences in English were consistent in both tasks, but the focal prominence factor reinforced this preference in the listening task. The findings suggest that L2 learners' parsing routines generally followed their L1-specific high attachment, and this default preference was reinforced by convergent prosodic prominence and intonation contour. Emphasizing that L2 sensitivity to prosody reflects a specific modular organization, the study argues that an L1-induced default projection in processing of relative clause attachment can be enhanced or reduced by specific accentual patterns in L2 sentence processing, without the need to claim shallow processing of L2 learners.

Published
2021

43. Exploring Pre-Service Teachers' Beliefs about English Teaching Competence, Perceived Competence, and Actual Competence

Author

Kim, Hyun Jin

Abstract

The present study explores what constitutes pre-service teachers' beliefs about English teaching competence, perceived English teaching competence, and actual English teaching competence, how these variables are related, and how beliefs function in self-evaluation. Eighty-eight pre-service elementary school teachers participated in the study. They were asked to perform the teaching task and respond to the surveys about beliefs and self-evaluation. The scores of beliefs, self-evaluation, and actual teaching ability were calculated and analyzed. The results are as follows: Pre-service teachers' three variables, beliefs about English teaching competence, perceived English teaching competence, and actual English teaching competence, are separate constructs consisting of different components; there are correlations between some of these components and actual English teaching competence. Also, this study revealed that one of the components--perceived competence about their skills of designing and teaching effective English lessons--best explains actual English teaching competence. Additionally, it was found that preservice teachers make some errors when they evaluate their English teaching competence, which causes tendencies such as overestimation or underestimation of their competence, and that their beliefs play a role in these self-evaluation tendencies.

Published
2019

46. Physics driven reduced order model for real time blood flow simulations

Author

Sankaran, Sethuraman, Lesage, David, Tombropoulos, Rhea, Xiao, Nan, Kim, Hyun Jin, Spain, David, Schaap, Michiel, and Taylor, Charles A.

Subjects
Mathematics - Numerical Analysis, Physics - Computational Physics, Physics - Medical Physics
Abstract

Predictive modeling of blood flow and pressure have numerous applications ranging from non-invasive assessment of functional significance of disease to planning invasive procedures. While several such predictive modeling techniques have been proposed, their use in the clinic has been limited due in part to the significant time required to perform virtual interventions and compute the resultant changes in hemodynamic conditions. We propose a fast hemodynamic assessment method based on first constructing an exploration space of geometries, tailored to each patient, and subsequently building a physics driven reduced order model in this space. We demonstrate that this method can predict fractional flow reserve derived from coronary computed tomography angiography in response to changes to a patient-specific lumen geometry in real time while achieving high accuracy when compared to computational fluid dynamics simulations. We validated this method on over 1300 patients that received a coronary CT scan and demonstrated a correlation coefficient of 0.98 with an error of 0.005 +- 0.015 (95% confidence interval: (-0.020, 0.031)) as compared to three-dimensional blood flow calculations.

Published
2019

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