Works (6)
Updated: April 11th, 2023 10:13
2022 article
Detecting Human Trust Calibration in Automation: A Convolutional Neural Network Approach
Choo, S., & Nam, C. (2022, January 19). IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol. 1.
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
Sources: Web Of Science, ORCID
Added: February 7, 2022
2022 journal article
Emotion depends on context, culture and their interaction: evidence from effective connectivity
SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, 17(2), 206–217.
author keywords: effective connectivity; Granger causality; EEG; emotion; culture; context
academic.oup.com (publisher PDF)
Sources: Web Of Science, ORCID
Added: March 7, 2022
2022 journal article
Evaluating Effective Connectivity of Trust in Human-Automation Interaction: A Dynamic Causal Modeling (DCM) Study
HUMAN FACTORS, 64(6), 1051–1069.
author keywords: trust in automation; neuroergonomics; dynamic causal modeling; electroencephalography
Sources: Web Of Science, ORCID
Added: April 19, 2021
2020 review
Brain-to-Brain Neural Synchrony During Social Interactions: A Systematic Review on Hyperscanning Studies
[Review of ]. APPLIED SCIENCES-BASEL, 10(19).
author keywords: hyperscanning; electroencephalography (EEG); functional magnetic resonance imaging (fMRI); functional near-infrared spectroscopy (fNIRS); magnetoencephalography (MEG)
Sources: Web Of Science, ORCID
Added: November 24, 2020
2019 journal article
Designing of smart chair for monitoring of sitting posture using convolutional neural networks
DATA TECHNOLOGIES AND APPLICATIONS, 53(2), 142–155.
author keywords: Deep learning; Data classification; IoT application; Convolutional neural network; Sensing cushion; Sitting posture classification
Sources: Web Of Science, ORCID
Added: August 26, 2019
2018 journal article
Learning Framework of Multimodal Gaussian-Bernoulli RBM Handling Real-value Input Data
Neurocomputing, 275(1), 1813–1822.
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
Source: ORCID
Added: September 11, 2021
Employment
Updated: August 18th, 2022 08:04
2022 - present
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
