Sanghyun Choo

Kim, S., Choo, S., Park, D., Park, H., Nam, C. S., Jung, J.-Y., & Lee, S. (2023). 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. https://doi.org/10.1016/j.ijhcs.2023.103009

Choo, S., Park, H., Kim, S., Park, D., Jung, J.-Y., Lee, S., & Nam, C. S. (2023). Effectiveness of multi-task deep learning framework for EEG-based emotion and context recognition. EXPERT SYSTEMS WITH APPLICATIONS, 227. https://doi.org/10.1016/j.eswa.2023.120348

Choo, S., & Nam, C. (2022, January 19). Detecting Human Trust Calibration in Automation: A Convolutional Neural Network Approach. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol. 1. https://doi.org/10.1109/THMS.2021.3137015

Pugh, Z. H., Choo, S., Leshin, J. C., Lindquist, K. A., & Nam, C. S. (2022). Emotion depends on context, culture and their interaction: evidence from effective connectivity. SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, 17(2), 206–217. https://doi.org/10.1093/scan/nsab092

Huang, J., Choo, S., Pugh, Z. H., & Nam, C. S. (2022). Evaluating Effective Connectivity of Trust in Human-Automation Interaction: A Dynamic Causal Modeling (DCM) Study. HUMAN FACTORS, 64(6), 1051–1069. https://doi.org/10.1177/0018720820987443

Nam, C. S., Choo, S., Huang, J., & Park, J. (2020). [Review of Brain-to-Brain Neural Synchrony During Social Interactions: A Systematic Review on Hyperscanning Studies]. APPLIED SCIENCES-BASEL, 10(19). https://doi.org/10.3390/app10196669

Kim, W., Jin, B., Choo, S., Nam, C. S., & Yun, M. H. (2019). Designing of smart chair for monitoring of sitting posture using convolutional neural networks. DATA TECHNOLOGIES AND APPLICATIONS, 53(2), 142–155. https://doi.org/10.1108/DTA-03-2018-0021

Choo, S., & Lee, H. (2018). Learning Framework of Multimodal Gaussian-Bernoulli RBM Handling Real-value Input Data. Neurocomputing, 275(1), 1813–1822. https://doi.org/10.1016/j.neucom.2017.10.018