Hae Seon Yun
Doctoral researcher
mail: yunhaese@informatik.hu-berlin.de
Haeseon is a Ph.D candidate at Humboldt University Berlin and she is working on her dissertation titled “Multimodal Learning Companions”. Previously in SCIoI, she has participated as a doctoral researcher for SCIoI project 06, “From understanding learners’ adaptive motivation and emotion to designing social learning companions”. Her role in the integration project is to consolidate concepts of intelligence discussed in SCIoI and construct the demonstrator. She enjoys the interdisciplinary research environment and is passionate about bringing in diverse perspectives from multidisciplinary fields into research.
SCIoI Publications:
Yun, H. S., Karl, M., & Fortenbacher, A. (2020). Designing an interactive second language learning scenario: a case study of Cozmo. Proceedings of HCI Korea, 384–387.
Yun, H. S., Chevalère, J., Karl, M., & Pinkwart, N. (2021). A comparative study on how social robots support learners’ motivation and learning. 14th Annual International Conference of Education, Research and Innovation, 2845–2850. https://doi.org/10.21125/iceri.2021.0708
Yun, H. S., Fortenbacher, A., Geißler, S., & Heumos, T. (2020). Towards External Regulation of Emotions Using Sensors: Tow Case Studies. INTED2020, 9313–9320. https://doi.org/10.21125/inted.2020.2576
Yun, H. S., Taliaronak, V., Kirtay, M., Chevelère, J., Hübert, H., Hafner, V. V., Pinkwart, N., & Lazarides, R. (2022). Challenges in Designing Teacher Robots with Motivation Based Gestures. 17th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022). https://drive.google.com/file/d/1IUxuJMiReGpGnYvaXa918lWF_t11aRLN/view
Yun, H. S., Hübert, H., Taliarona, V., & Sardogan, A. (2022). Utilizing Machine Learning based Gesture Recognition Software, Mediapipe, in the Context of Education and Health. AI Innovation Summit 2022.
Yun, H. S., Hübert, H., Taliaronak, V., Mayet, R., Kirtay, M., Hafner, V. V., & Pinkwart, N. (2022). AI-based Open-Source Gesture Retargeting to a Humanoid Teaching Robot. AIED 2022: The 23rd International Conference on Artificial Intelligence in Education. https://link.springer.com/chapter/10.1007/978-3-031-11647-6_51
Yun, H. S., Hübert, H., Chevalere, J., Pinkwart, N., Hafner, V., & Lazarides, R. (2023). Analyzing Learners’ Emotion from an HRI experiment using Facial Expression Recognition Systems. 25th International Conference on Human-Computer Interaction.
Yun, H. S., Hübert, H., Sardogan, A., Pinkwart, N., Hafner, V., & Lazarides, R. (2023). Humanoid Robot as a Debate Partner. 25th International Conference on Human-Computer Interaction.
Yun, H. S., & Fortenbacher, A. (2019). Listen to your body: making learners aware of their cognitive and affective state. ICER2019. https://docs.google.com/document/d/1D3XlYPBKg-Z7UoR1SunXZrAJy7oojV9S8N_OgjQQ5ck/edit
Chevalère, J., Lazarides, R., Yun, H. S., Henke, A., Lazarides, C., Pinkwart, N., & Hafner, V. (2023). Do instructional strategies considering activity emotions reduce students’ boredom in a computerized open-ended learning environment? Computers & Education, 196. https://doi.org/10.1016/j.compedu.2023.104741