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Yu‐Bin Shin

Biographic Data

ID7970589
NAMEYu‐Bin Shin
GIVEN NAMESYu‐Bin
FAMILY NAMEShin
SIGNATUREBIN SHIN Y
AFFILIATIONSYonsei University
ORCID0000-0002-7311-9438
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Machine learning prediction of anxiety symptoms in social anxiety disorder

    Open Access•Jinhyun Park, Jin-Hyun Park et al.•ARTICLE•Frontiers in Psychiatry•2025

    This study showed that a ML algorithm using integrated multimodal data can predict upper tertile anxiety symptoms in patients with SAD with higher performance than acoustic or physiological data obtained during a VR session. The results of this study can be used as evidence for personalized VR sessions and to demonstrate the strength of the clinical use of multimodal data

  • The Applicability of Virtual Reality-Based Training for Controlling Anger in Aggressive Individuals

    Open Access•Hye-Jeong Jo, Young-Hoon Jung et al.•ARTICLE•Cyberpsychology Behavior and…•2022

    Because a failure of anger control leads to emotional and social problems, appropriate anger management may be important for social well-being. Virtual reality (VR) may potentially be effectively utilized in anger management, and this study aimed to verify the applicability of the VR-based anger control training program. The data obtained by having 60 young male participants divided into 2 groups, the high aggression group and the low aggression …

  • Differences in resting-state functional connectivity according to the level of impulsiveness in patients with internet gaming disorder

    Open Access•Soo-Jeong Kim, Soo‐Jeong Kim et al.•ARTICLE•Journal of Behavioral Addictions•2021

  • Feasibility of a virtual reality-based interactive feedback program for modifying dysfunctional communication

    Open Access•Junhyung Kim, Young Hoon Jung et al.•ARTICLE•BMC Psychology•2020

    These results suggest that the program may have a tolerable level of cybersickness, an adequate level of presence, an improvement in the behavioral parameters that may reflect the important aspects of communication, and a proper reflection of psychological states or interpersonal characteristics. The use of this program can be an important starting point for the development of a more convenient method for delivering VR programs designed to modify…

No prominent works on this page.

  • Feasibility of a virtual reality-based interactive feedback program for modifying dysfunctional communication

    Open Access•Junhyung Kim, Young Hoon Jung et al.•ARTICLE•BMC Psychology•2020

    These results suggest that the program may have a tolerable level of cybersickness, an adequate level of presence, an improvement in the behavioral parameters that may reflect the important aspects of communication, and a proper reflection of psychological states or interpersonal characteristics. The use of this program can be an important starting point for the development of a more convenient method for delivering VR programs designed to modify…

  • Differences in resting-state functional connectivity according to the level of impulsiveness in patients with internet gaming disorder

    Open Access•Soo-Jeong Kim, Soo‐Jeong Kim et al.•ARTICLE•Journal of Behavioral Addictions•2021

  • The Applicability of Virtual Reality-Based Training for Controlling Anger in Aggressive Individuals

    Open Access•Hye-Jeong Jo, Young-Hoon Jung et al.•ARTICLE•Cyberpsychology Behavior and…•2022

    Because a failure of anger control leads to emotional and social problems, appropriate anger management may be important for social well-being. Virtual reality (VR) may potentially be effectively utilized in anger management, and this study aimed to verify the applicability of the VR-based anger control training program. The data obtained by having 60 young male participants divided into 2 groups, the high aggression group and the low aggression …

  • Machine learning prediction of anxiety symptoms in social anxiety disorder

    Open Access•Jinhyun Park, Jin-Hyun Park et al.•ARTICLE•Frontiers in Psychiatry•2025

    This study showed that a ML algorithm using integrated multimodal data can predict upper tertile anxiety symptoms in patients with SAD with higher performance than acoustic or physiological data obtained during a VR session. The results of this study can be used as evidence for personalized VR sessions and to demonstrate the strength of the clinical use of multimodal data

Psychology (4 works) · Clinical Psychology (3 works) · Digital Mental Health Interventions (3 works) · Applied Psychology (2 works) · Computer Science (2 works) · Social Psychology (2 works) · Virtual reality (2 works) · Addiction (1 work) · Aggression (1 work) · Amygdala (1 work)

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