Humboldt-Universität zu Berlin - Faculty of Mathematics and Natural Sciences - Computer Science Education | Computer Science and Society

Haeseon Yun, M.A.Ed.

Haeseon Yun, M.A.Ed.

 

Address: Rudower Chaussee 25, Room 3.417
Email: yunhaese@informatik.hu-berlin.de

Haeseon Yun attained her Bachelor of Science in Electrical Engineering in 2005 at Montana State University in U.S.A. She enrolled in Master of Arts in Education (Educational Technology) in 2010 and attained her Master’s degree in 2013 at Seoul National University, Republic of Korea. Her Master thesis (Development of a volitional control application for M-learning) focuses on utilisation of mobile environment for volitional control support. She continued her study into Ph.D in Education and completed her coursework in Education in Seoul National University in 2015. She joined LISA (Learning Analytics für sensor basierte Lernen) project in 2016 as a project coordinator at HTW Berlin and joined the research group of Prof. Pinkwart in Summer 2017 as an external PhD student. As of October 2019, she is employed at HU Berlin as a doctoral research staff for the project, Science of Intelligence. Her research focuses on mobile learning companion for self-regulated learning.

Publications

Journal Articles by H. Yun


Conference Papers


H. S. Yun, H. Hübert, A. Sardogan, N. Pinkwart, V. V. Hafner, and R. Lazarides
Humanoid Robot as a Debate Partner
HCI International 2023 Posters, Springer Nature Switzerland, 2023
URL, DOI, RIS, BibTex
H. S. Yun, H. Hübert, J. Chevalère, N. Pinkwart, V. V. Hafner, and R. Lazarides
Analyzing Learners’ Emotion from an HRI Experiment Using Facial Expression Recognition Systems
Learning and Collaboration Technologies: 10th International Conference, LCT 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part II, 2023
URL, DOI, RIS, BibTex
H. S. Yun, H. Hübert, V. Taliaronak, R. Mayet, M. Kirtay, V. V. Hafner, and N. Pinkwart
AI-Based Open-Source Gesture Retargeting to a Humanoid Teaching Robot
International Conference on Artificial Intelligence in Education, 276-279, 2022
URL, DOI, RIS, BibTex
H. Yun, A. Fortenbacher, and P. Scaff
Visualization of Learning Process and Learner’s Emotions: Current State, Limitations and Future Work
Proceedings of the Weizenbaum Conference 2019 "Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life", 2019
URL, RIS, BibTex
H. Yun and A. Fortenbacher
Listen to your body: making learners aware of their cognitive and affective state
The 20th of International Conference on Education Research, 2019
RIS, BibTex
H. Yun, S. Riazy, A. Fortenbacher, and K. Simbeck
Code of Practice for Sensor-Based Learning
Die 17. Fachtagung Bildungstechnologien, Gesellschaft für Informatik e.V. (GI), 2019
DOI, RIS, BibTex
A. Fortenbacher, M. Ninaus, H. Yun, R. Helbig, and K. Moeller
Towards Sensor-Based Learning: Lessons Learned from LISA
Die 17. Fachtagung Bildungstechnologien, Gesellschaft für Informatik e.V. (GI), 2019
DOI, RIS, BibTex
H. Yun, A. Fortenbacher, R. Helbig, and N. Pinkwart
Design Considerations for a mobile Sensor-Based Learning Companion
the 18th International Conference on Web-based Learning (ICWL), 2019
PDF, RIS, BibTex
F. Moukayed, H. Yun, A. Fortenbacher, and T. Bisson
Detecting Academic Emotions from Learners’ Skin Conductance and Heart Rate: Data-Driven Aproach using Fuzzy Logic
Proceedings der Pre-Conference-Workshops der 16. E-Learning Fachtagung Informatik co-located with 16th e-Learning Conference of the German Computer Society (DeLFI 2018), CEUR Workshop Proceedings (CEUR-WS.org <http://CEUR-WS.org>), 2018
lisa academic emotions arousal valence affective pictures fuzzy logic genetic algorithm learning indicators
URL, PDF, RIS, BibTex
H. Yun, A. Fortenbacher, N. Pinkwart, T. Bisson, and F. Moukayed
A Pilot Study of Emotion Detection using Sensors in a Learning Context: Towards an Affective Learning Companion
Preconference Workshops of DeLFI 2017, Die 15. e-Learning Fachtagung Informatik, der Gesellschaft für Informatik e.V., 15-25, 2017
RIS, BibTex
V. Brovkov, A. Fortenbacher, J. H. Israel, and H. Yun
A Mobile Sensor Device for Learning Support: Design Considerations
In V Ukrainian-German conference „Informatics. Culture. Technology, 2017
URL, RIS, BibTex
H. Yun, J. H. Israel, A. Fortenbacher, H. Rott, and D. Metzler
User-Centric Approach to the Design of a Mobile Learning Companion
Mensch und Computer 2017 - Workshopband, Regensburg, Germany, September 10-13, 2017., 2017
DOI, RIS, BibTex
H. Yun, M. Domanska, A. Fortenbacher, N. Pinkwart, and M. Ghomi
Sensor Data for Learning Support: Achievements, Open Questions & Opportunities
Proceedings der Pre-Conference-Workshops der 14. E-Learning Fachtagung Informatik co-located with 14th e-Learning Conference of the German Computer Society (DeLFI 2016), CEUR Workshop Proceedings (CEUR-WS.org), 2016
lisa learning analytics sensor data adaptive systems feedback
URL, RIS, BibTex
V. Brovkov, A. Fortenbacher, H. Yun, and D. Junker
Prototype of a sensor device for learning environments
3rd International Symposium on Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems, SWS@IDAACS 2016, Offenburg, Germany, September 26-27, 2016, 2016
DOI, RIS, BibTex