Sanghyun Choo

Works (8)

Updated: September 23rd, 2024 08:17

2023 article

Designing an XAI interface for BCI experts: A contextual design for pragmatic explanation interface based on domain knowledge in a specific context

Kim, S., Choo, S., Park, D., Park, H., Nam, C. S., Jung, J.-Y., & Lee, S. (2023, February 24). International Journal of Human-Computer Studies, Vol. 174.

By: S. Kim*, S. Choo n , D. Park*, H. Park *, C. Nam n , J. Jung *, S. Lee *

author keywords: Explanation interface; Explainable artificial intelligence (XAI); Pragmatism; Brain-computer interface (BCI); Expert system; Contextual design
topics (OpenAlex): EEG and Brain-Computer Interfaces; Explainable Artificial Intelligence (XAI); Neural dynamics and brain function
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 21, 2023

2023 article

Effectiveness of multi-task deep learning framework for EEG-based emotion and context recognition

Choo, S., Park, H., Kim, S., Park, D., Jung, J.-Y., Lee, S., & Nam, C. S. (2023, May 5). Expert Systems with Applications, Vol. 227.

By: S. Choo n , H. Park *, S. Kim n, D. Park*, J. Jung *, S. Lee *, C. Nam n 

author keywords: Emotion recognition; Multi -task learning (MTL); Convolutional neural network (CNN); Electroencephalogram (EEG)
topics (OpenAlex): EEG and Brain-Computer Interfaces; Emotion and Mood Recognition; ECG Monitoring and Analysis
Sources: Web Of Science, NC State University Libraries
Added: June 19, 2023

2022 article

Detecting Human Trust Calibration in Automation: A Convolutional Neural Network Approach

Choo, S., & Nam, C. (2022, January 20). IEEE Transactions on Human-Machine Systems, Vol. 1, pp. 774–783.

By: S. Choo n  & C. Nam n 

author keywords: Automation; Electroencephalography; Calibration; Feature extraction; Convolutional neural networks; Brain modeling; Task analysis; Convolutional neural network (CNN); deep learning (DL); electroencephalography (EEG); human-automation interaction (HAI); machine learning (ML); trust calibration; trust estimation
topics (OpenAlex): EEG and Brain-Computer Interfaces; Human-Automation Interaction and Safety; Healthcare Technology and Patient Monitoring
TL;DR: A convolutional neural network (CNN) based framework to estimate operators’ trust levels and detect their trust calibration in automation using image features of electroencephalogram (EEG) signals preserving temporal, spectral, and spatial information. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: February 7, 2022

2021 article

Emotion depends on context, culture and their interaction: evidence from effective connectivity

Pugh, Z. H., Choo, S., Leshin, J. C., Lindquist, K. A., & Nam, C. S. (2021, July 20). Social Cognitive and Affective Neuroscience, Vol. 2.

By: Z. Pugh n, S. Choo n , J. Leshin *, K. Lindquist * & C. Nam n 

author keywords: effective connectivity; Granger causality; EEG; emotion; culture; context
MeSH headings : Brain / diagnostic imaging; Brain / physiology; Electroencephalography; Emotions / physiology; Fear; Humans; Parietal Lobe
topics (OpenAlex): Functional Brain Connectivity Studies; Face Recognition and Perception; Neural dynamics and brain function
TL;DR: The findings suggest that the neural representation of fear varies according to both culture, situation, and their interaction in ways that are consistent with norms instilled by cultural background. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: March 7, 2022

2021 article

Evaluating Effective Connectivity of Trust in Human–Automation Interaction: A Dynamic Causal Modeling (DCM) Study

Huang, J., Choo, S., Pugh, Z. H., & Nam, C. S. (2021, March 3). Human Factors The Journal of the Human Factors and Ergonomics Society, Vol. 3, p. 001872082098744.

By: J. Huang n , S. Choo n , Z. Pugh n & C. Nam n 

author keywords: trust in automation; neuroergonomics; dynamic causal modeling; electroencephalography
MeSH headings : Automation; Bayes Theorem; Brain; Brain Mapping / methods; Humans; Magnetic Resonance Imaging / methods; Reproducibility of Results; Trust
topics (OpenAlex): EEG and Brain-Computer Interfaces; Neural and Behavioral Psychology Studies; Functional Brain Connectivity Studies
TL;DR: It is indicated that trust and distrust can be two distinctive neural processes in human–automation interaction—distrust being a more complex network than trust, possibly due to the increased cognitive load. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: April 19, 2021

2020 article

Brain-to-Brain Neural Synchrony During Social Interactions: A Systematic Review on Hyperscanning Studies

Nam, C. S., Choo, S., Huang, J., & Park, J. (2020, September 24). Applied Sciences, Vol. 10, p. 6669.

By: C. Nam n , S. Choo n , J. Huang n  & J. Park *

author keywords: hyperscanning; electroencephalography (EEG); functional magnetic resonance imaging (fMRI); functional near-infrared spectroscopy (fNIRS); magnetoencephalography (MEG)
topics (OpenAlex): EEG and Brain-Computer Interfaces; Action Observation and Synchronization; Functional Brain Connectivity Studies
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 24, 2020

2019 article

Designing of smart chair for monitoring of sitting posture using convolutional neural networks

Kim, W., Jin, B., Choo, S., Nam, C. S., & Yun, M. H. (2019, February 28). Data Technologies and Applications, Vol. 53, pp. 142–155.

By: W. Kim*, B. Jin *, S. Choo n , C. Nam n  & M. Yun *

author keywords: Deep learning; Data classification; IoT application; Convolutional neural network; Sensing cushion; Sitting posture classification
topics (OpenAlex): Ergonomics and Musculoskeletal Disorders; Tactile and Sensory Interactions; Gaze Tracking and Assistive Technology
TL;DR: This study confirmed the applicability of the CNN-based algorithm that can be applied to the smart chair to support the correct posture in children and performed the posture classification of children using CNN technique, which has not been used in related studies. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 26, 2019

2017 article

Learning framework of multimodal Gaussian–Bernoulli RBM handling real-value input data

Choo, S., & Lee, H. (2017, October 28). Neurocomputing, Vol. 275, pp. 1813–1822.

By: S. Choo*  & H. Lee *

author keywords: Multi-modal Gaussian-Bernoulli restricted Boltzmann machine (MGBRBM); Gaussian mixture model (GMM); Gaussian-Bernoulli restricted Boltzmann machine (GBRBM); Memetic algorithm; Real-valued input data
topics (OpenAlex): Fault Detection and Control Systems; Neural Networks and Applications; Advanced Control Systems Optimization
TL;DR: The proposed Gaussian mixture model (GMM) based RBM is proposed and is able to apply real-valued input data extensively and reduce difficulties of learning parameters by capturing the characteristics of real-value input data using GMM. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: ORCID
Added: September 11, 2021

Employment

Updated: October 30th, 2024 00:04

2024 - present

Kumoh National Institute of Technology Gumi, KR
Assistant Professor Industrial Engineering

2022 - 2023

Oak Ridge National Laboratory Oak Ridge, Tennessee, US
Postdoctoral Research Associate Computational Sciences and Engineering

Education

Updated: August 18th, 2022 08:03

2018 - 2022

NC State University Raleigh, NC, US
Ph.D. Industrial Engineering

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2026) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.