Sangyeon Kim

Huang, J., Pugh, Z. H., Kim, S., & Nam, C. S. (2024). Brain dynamics of mental workload in a multitasking context: Evidence from dynamic causal modeling. COMPUTERS IN HUMAN BEHAVIOR, 152. https://doi.org/10.1016/j.chb.2023.108043

Park, J., Kim, S., & Lee, S. (2023). A User Preference and Intent Extraction Framework for Explainable Conversational Recommender Systems. COMPANION OF THE 2023 ACM SIGCHI SYMPOSIUM ON ENGINEERING INTERACTIVE COMPUTING SYSTEMS, EICS 2023, pp. 16–23. https://doi.org/10.1145/3596454.3597178

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

Jeon, G., Kim, S., & Lee, S. (2023, August 1). Interactive Feedback Loop with Counterfactual Data Modification for Serendipity in a Recommendation System. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION. https://doi.org/10.1080/10447318.2023.2238369