SM-HCAI LAB

Publications

Google Scholar

International Journal Article

  1. Jeon G., Hong J., Kim S., & Lee S. Enhancing Serendipity by Incorporating User Control of Social Information in a Recommender System,International Journal of Human-Computer Interaction. (In Review)
  2. Hong J., Jeon G., Kim S., & Lee S. Find Your Social Match, Discover What to Watch: The Role of Social Profiles and Explanations in Recommender Systems, International Journal of Human-Computer Interaction. (Accepted)
  3. Kim S., Boo S., Jeon G., & Lee S. (2025). Balancing Diversity in Session-Based Recommendation Between Relevance and Unexpectedness, IEEE Access. 13, 77833 – 77846. [SCIE, JCR2023 IF=3.4, Q2 in Computer Science, Information Systems]
  4. Kim H, Kim S., Jun S.C., & Nam, C.S. (2025). Is What I Think What You Think?: Multilayer Network-Based Inter-Brain Synchrony Approach, Social Cognitive and Affective Neuroscience. 20(1), nsaf028. [SSCI/SCIE, JCR2023 IF=3.9, Q1 in Psychology, Experimental (Top 10%)]
  5. Hong J., Kim S., & Lee S. (2025). Enhancing passenger-vehicle interaction through multimodal explanation for unexpected behaviors of fully autonomous driving in non-driving-related tasks, Transportation Research Part F: Traffic Psychology and Behaviour. 109, 1350-1364. [SSCI, JCR 2023 IF=3.5, Q1 in Psychology, Applied]
  6. Jo J., Kim S., & Lee S. (2025). Exploring the Mental Model of Web Page Scraping: Design Suggestion of an AI-Powered In-browser Scrap Tool and Its Usability Evaluation, International Journal of Human-Computer Interaction. 41(13), 7982–7998.[SSCI/SCIE, JCR 2023 IF=3.4, Q1 in Ergonomics]
  7. Huang J., Pugh Z., 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, 108043. [SSCI, JCR2022 IF=9.9, Q1 in Psychology, Experimental (Top 5%)]
  8. Ha T., & Kim S. (2024). Improving Trust in AI with Mitigating Confirmation Bias: Effects of Explanation Type and Debias Strategy for Decision-making with Explainable AI, International Journal of Human-Computer Interaction. 40(24), 8562-8573. [SSCI/SCIE, JCR 2022 IF=4.7, Q1 in Ergonomics]
  9. Jeon G., Kim S., & Lee S. (2024). Interactive Feedback Loop with Counterfactual Data Modification for Serendipity in a Recommendation System, International Journal of Human-Computer Interaction. 40(19), 5585-5601. [SSCI/SCIE, JCR 2022 IF=4.7, Q1 in Ergonomics]
  10. Park D., Park H., Kim S., Choo S., Nam C.S., Lee S., and Jung J.-Y. (2023). Spatio-temporal explanation of 3D-EEGNet for motor imagery EEG classification using permutation and saliency, IEEE Transactions on Neural Systems & Rehabilitation Engineering. 31, 4504 – 4513. [SCIE, JCR 2022 IF=4.9, Q1 in Rehabilitation]
  11. Lee, S., Hong, J., Jeon, G., Jo, J., Boo, S., Kim, H., Jung, S., Park, J., Choi, I., & Kim, S. (2023). Investigating Effects of Multimodal Explanations Using Multiple In-vehicle Displays for Takeover Request in Conditionally Autonomous Driving, Transportation Research Part F: Traffic Psychology and Behaviour. [SSCI, JCR 2022 IF=4.1, Q2 in Transportation]
  12. 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, 120348. [SCIE, JCR 2022 IF=8.5, Q1 in Engineering, Electrical & Electronic (Top 10%)]
  13. 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, 103009. [SSCI & SCIE, JCR 2022 IF=5.4, Q1 in Ergonomics]
  14. Kim, S., & Lee, S. (2023). Touchable pixels: Examining the affordance effect between an on-screen object and a user-elicited gesture on the touchscreeen, Computers in Human Behavior. 140, 107588 [SSCI, JCR2022 IF=9.9, Q1 in Psychology, Experimental (Top 5%)]
  15. Kim, S., Huh, I., Lee, S. (2023). No Movie to Watch: A Design Strategy for Enhancing Content Diversity through Social Recommendation in the Subscription-Video-On-Demand Service, Applied Sciences. 13(1), 279. [SCIE, JCR2022 IF=2.7, Q2 in Engineering, Multidisciplinary]
  16. Ahn, S., Kim, S., & Lee, S. (2021). Effects of visual cues on distance perception in virtual environments based on object identification and visually guided action, International Journal of Human-Computer Interaction. 37(1), 36-46. [SSCI/SCIE, JCR 2020 IF=3.353, Q2 in Ergonomics]
  17. Ha, T., Kim, S., Seo, D., & Lee, S. (2020). Effects of explanation types and perceived risk on trust in autonomous vehicles, Transportation Research Part F: Traffic Psychology and Behaviour, 73, 271-280. [SSCI, JCR 2019 IF=2.518, Q2 in Psychology, Applied]
  18. Kim, S., & Lee, S. (2020). Smash the dichotomy of skeuomorphism and flat design: Designing an affordable interface to correspond with the human perceptuomotor process, International Journal of Human-Computer Studies, 141, 102435. [SSCI, JCR 2019 IF=3.163, Q1 in Ergonomics]
  19. Ha, T., Beijnon, B., Kim, S., Lee, S., & Kim, J. H. (2017). Examining user perceptions of smartwatch through dynamic topic modeling. Telematics and Informatics, 34(7), 1262-1273. [SSCI, JCR 2017 IF = 3.398, Q1 in Information Science & Library Science]

International Conference Article
(Paper & Poster)

  1. Lim, Y., Kim, S., & Lee, S. (2025). Time to Focus on the Road: Adaptive Monitoring Requests Design for Attentional Shift in Conditional Automated Driving. In Adjunct Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’25), ACM.
  2. Park, J., Kim, S., & Lee, S. (2023). A User Preference and Intent Extraction Framework for Explainable Conversational Recommender Systems. In Companion Proceedings of the 15th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS ’23 Companion), ACM.
  3. Jo, J., Kim, S., & Lee, S. (2023).Read It Now, Not Later! Integrating Semantic Recommendation into In-Browser Web Page Scrap Tool. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, ACM.
  4. Boo, S., Kim, S., & Lee, S. (2023). Serendipity into session-based recommendation: Focusing on unexpectedness, relevance, and usefulness of recommendations. In Companion Proceedings of the 28th International Conference on Intelligent User Interfaces (IUI ’23 Companion), ACM.
  5. Hong, J., Kim, S., Jeon, G., Boo, S., Jo, J., Park, J., Jung, S., Park, J., & Lee, S. (2022). A Preliminary Study of Multimodal Feedback Interface in Takeover Transition of Semi-autonomous Vehicles. In Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’22), ACM.
  6. Kim, S., & Lee, S. (2020). Touch Digitality: Affordance Effects of Visual Properties on Gesture Selection. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, ACM.
  7. Kim, S., & Lee, S. (2018). Three Levels of Perceiving Affordance: Possibility, Specificity, and Signification Levels. In Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI’18), ACM.
  8. Ha, T., Lee, S., & Kim, S. (2018). Designing Explainability of an Artificial Intelligence System. In Proceedings of the Technology, Mind, and Society (Article No.14), ACM.

Domestic Journal Article

  1. Shin, S., Kim, S., & Lee, S. (2020). Explanation of AI Results : The Why not-How to-What if Interface Based on Counterfactual Explanation. The Journal of Information Technology and Architecture, 17(1), 63-71. (Korean: 반 사실적 설명을 사용한 인공지능 시스템 설명 인터페이스 개발, 정보화연구)
  2. Kim, S., Seo, D., Lee, G., Han, J., & Lee, S. (2019) Analysis of Outlink-based Press Websites for User Experience Improvement. Journal of Cybercommunication Academic Society, 36(3), 5-52. (Korean: 아웃링크 뉴스 제공 언론사에 대한 사용자 경험 분석 및 개선 방안 논의, 사이버커뮤니케이션학보)
  3. Baek, H., Kim, S., & Lee, S. (2019). Effects of Interactivity and Usage Mode on User Experience in Chatbot Interface. Journal of the HCI Society of Korea, 14(1), 35–43. (Korean: 챗봇 기반 인터페이스의 상호작용성과 사용 모드가사용자 경험에 미치는 영향, 한국HCI학회 논문지) **
  4. Ahn, S., Ha, T., Kim, S., Baek, S., Cho, Y., Choi, W.-Y., & Lee, S. (2019). A Study of Human-centered User Interface Design for the Large Display System in a Virtual Power Plant. Journal of the Ergonomics Society of Korea, 38(1), 27–38. (Korean: 가상 발전소의 기능적 특징을 고려한 사용자 중심 LDS 인터페이스 디자인, 대한인간공학회지)

Domestic Conference Article

  1. Park, S., Choi, Y., Park, D., Han, E., Jung, C., & Kim, S. (2025). Designing an LLM-Based Assistant to Predict User Behavior Sequences for Digital Accessibility. In Proceedings of 2025 Spring Conference Korea Multimedia Society, 28(1) (Korean: 디지털 접근성 향상을 위한 사용자 행동 시퀀스 예측 LLM 기반 어시스턴트 설계, 한국멀티미디어학회 2025 춘계학술발표대회 논문집)
  2. Seo, D., Kim, S., & Lee, S. (2019). Exploring Explanation Effects on Users’ Subjective Responses in Autonomous Vehicles: Focusing on Driving Style and Risk Severity. In Proceedings of 2019 Spring Conference Ergonomics Society of Korea, 13-16. (Korean: 자율주행차량의 설명 효과에 의한 사용자의 주관적 반응 탐구: 운전 성향과 위험도를 중심으로, 대한인간공학회 2019 춘계학술대회 논문집)
  3. Kim, S., & Lee, S. (2017). Application of Affordance to Screen Designs in Cognitive Perspectives. In Proceedings of HCI KOREA 2017, 312-315. (Korean: 인지적 관점에서의 스크린 디자인에 대한 어포던스의 적용, 한국 HCI 학회 학술대회)

Book Chapter

  1. Kim, S., Huh, I., Park Y., & Lee, S. (2022). Designing a Pragmatic Explanation for the XAI System Based on the User’s Context and Background Knowledge. In Nam C.S., Jung, J.-Y., & Lee S. (Eds.), Human-Centered Artificial Intelligence: Research and Applications. Cambridge, MA: Academic Press.