PEOPLE

Short CV

2023 Graduation with Master in Cognitive Science at University of Osnabrück, Germany
2019 Graduation with Bachelor in Psychology at Pusan National University, South Korea

Projects

Research Interests

Human-computer interaction (HCI)
Affective computing
Haptic wearables for health
Multimodal communication through wearables
User studies on AI-driven applications

Supervised Theses

Investigation of Touch for passive haptic Braille Learning
Influence of vibrotactile Stimulation on Alpha Waves and Relaxation: Comparison of different Body Locations
Coupling Heart Rate with Vibrotactile Cues to Induce Sleep
Training Large Language Models with Self-Supervised Embeddings to Natively Understand Route Context (in cooperation with Porsche)
Development of an AI-supported idea generation process for the promotion of technology-driven innovations (co-supervising with Dr. Manthey)
AI-based Stress Detection using Sensor Data from Smartwatches for Real-Time Feedback in a Gaming Kontext

Teaching

Human Computer Interaction
Designing and Conducting Experimental Studies
User Adaptive Systems

Jueun Lee

Karlsruhe Institute of Technology (KIT) Institute of Telematics / TECO
Vincenz-Prießnitz-Straße 1
76131 Karlsruhe, Germany
Building 07.07, 2nd floor
Room 210

lee@teco.edu

Email

Jueun Lee's publications

2025

Closed-Loop Rhythmic Haptic Biofeedback via Smartwatch for Relaxation and Sleep Onset
Lee, J.; Moschina, D.; Ramesh, S.; Röddiger, T.; Kunze, K.; Beigl, M.
2025. Proceedings of the ACM International Symposium on Wearable Computers (ISWC’25), 30–37, Association for Computing Machinery (ACM). doi:10.1145/3715071.3750412

Haptic Biofeedback for Wakeful Rest: Does Stimulation Location Make a Difference?
Lee, J.; Filpe, M.; Lepold, P.; Röddiger, T.; Beigl, M.
2025. Proceedings of the 2025 ACM International Symposium on Wearable Computers, 83–90, Association for Computing Machinery (ACM). doi:10.1145/3715071.3750427

2024

SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading
Dinh, T. A.; Mullov, C.; Bärmann, L.; Li, Z.; Liu, D.; Reiß, S.; Lee, J.; Lerzer, N.; Ternava, F.; Gao, J.; Röddiger, T.; Waibel, A.; Asfour, T.; Beigl, M.; Stiefelhagen, R.; Dachsbacher, C.; Böhm, K.; Niehues, J.
2024. arxiv. doi:10.48550/arXiv.2406.10421

SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading
Dinh, T. A.; Mullov, C.; Bärmann, L.; Li, Z.; Liu, D.; Reiß, S.; Lee, J.; Lerzer, N.; Gao, J.; Peller-Konrad, F.; Röddiger, T.; Waibel, A.; Asfour, T.; Beigl, M.; Stiefelhagen, R.; Dachsbacher, C.; Böhm, K.; Niehues, J.
2024. Y. Al-Onaizan, M. Bansal & Y.-N. Chen (Hrsg.), Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Miami, 12th-16th November 2024, Hrsg.: Al-Onaizan, Y., Bansal, M., Chen, Y.-N., 11592–11610, Association for Computational Linguistics (ACL). doi:10.18653/v1/2024.emnlp-main.647