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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'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:10.1145/3715071.3750412VolltextVolltext der Publikation als PDF-Dokument
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:10.1145/3715071.3750427VolltextVolltext der Publikation als PDF-Dokument
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.2406.10421VolltextVolltext der Publikation als PDF-Dokument
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.647VolltextVolltext der Publikation als PDF-Dokument
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