Works (8)
Updated: August 24th, 2023 05:00
2023 journal article
Designing an XAI interface for BCI experts: A contextual design for pragmatic explanation interface based on domain knowledge in a specific context
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 174.
author keywords: Explanation interface; Explainable artificial intelligence (XAI); Pragmatism; Brain-computer interface (BCI); Expert system; Contextual design
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID
Added: August 21, 2023
2023 journal article
Effectiveness of multi-task deep learning framework for EEG-based emotion and context recognition
EXPERT SYSTEMS WITH APPLICATIONS, 227.
author keywords: Emotion recognition; Multi -task learning (MTL); Convolutional neural network (CNN); Electroencephalogram (EEG)
Sources: Web Of Science, ORCID
Added: June 19, 2023
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
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, 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
MeSH headings : Brain / diagnostic imaging; Brain / physiology; Electroencephalography; Emotions / physiology; Fear; Humans; Parietal Lobe
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)
academic.oup.com (publisher PDF)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
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
MeSH headings : Automation; Bayes Theorem; Brain; Brain Mapping / methods; Humans; Magnetic Resonance Imaging / methods; Reproducibility of Results; Trust
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, 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)
UN Sustainable Development Goal Categories
10. Reduced Inequalities
(OpenAlex)
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
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 Goal Categories
3. Good Health and Well-being
(Web of Science)
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
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 Goal Categories
7. Affordable and Clean Energy
(OpenAlex)
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
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