Members



 Visiting Faculty
   
Martin Loeser (2023)

Professor

ZHAW School of Engineering, Switzerland

martin.loeser@zhaw.ch

Information Technology, Electrical Engineering


 Alumni (M.S)

2025
Hyeonju Keum (2025)

LIG NEX1 Researcher

khj4309631@seoultech.ac.kr

Dissertation Title | Enhancing the reliability of LLM-as-a-Judge by generating rubrics with types tailored to evaluation contexts

Paper Works (1)

[1] Keum, H., Kim, Y., You, D., & Seo, K. (2025). A deep learning model for stress level recognition utilizing neutral and stress state of remote photoplethysmography. 한국 HCI 학회 학술대회, 31–36.

Dana You (2025)

HAI LAB Ph.D. Student

dnyou@seoultech.ac.kr

Dissertation Title | LLM-based Virtual Counselor: A Comparison of Socratic and Didactic Counseling Styles for Academic Stress Management

Paper Works (4)

[1] You, D., Kim, Y., & Seo, K. (2025, April). Tailored Virtual Agent Guidance for Stress Management: Comparing Directive and Non-Directive Approaches by Alexithymia Status. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1–8).

[2] You, D., Kim, Y., & Seo, K. (2025). Digital mental health intervention with virtual agent: impact of guidance approaches on stress reduction in young adults. 한국 HCI 학회 학술대회, 350–356.

[3] Keum, H., Kim, Y., You, D., & Seo, K. (2025). A deep learning model for stress level recognition utilizing neutral and stress state of remote photoplethysmography. 한국 HCI 학회 학술대회, 31–36.

[4] You, D., Kim, S. Y., & Seo, K. (2024). Enhancing memory through increased social presence via active interaction with a virtual agent in VR memory training task: feasibility and usability study. 한국 HCI 학회 학술대회, 68–73.

Minyoung Park (2025)

Prepare for Ph.D.

my_park@seoultech.ac.kr

Dissertation Title | Designing empathetic self-disclosure in LLM-based chatbots to enhance students' self-reflection, engagement, and assessment accuracy

Paper Works (5)

[1] Park, M., Fels, S., & Seo, K. (2025). Enhancing academic stress assessment through self-disclosure chatbots: effects on engagement, accuracy, and self-reflection. International Journal of Educational Technology in Higher Education, 22(1), 28.

[2] Park, M., Park, B., & Seo, K. (2025, April). How Self-Disclosing Chatbots Influence Student Engagement, Assessment Accuracy, and Self-Reflection in Academic Stress Assessment. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1–10).

[3] Park, M., Park, B., & Seo, K. (2025). The impact of self-disclosing chatbots for academic stress assessment on student self-reflection. 한국 HCI 학회 학술대회, 560–568.

[4] Song, C., Park, M., Kim, D., & Seo, K. (2024). ChatGPT as an assistant of human teacher: Student competency analysis through prompt engineering. 한국 HCI 학회 학술대회, 175–182.

[5] Park, M., & Seo, K. (2023). Passive vs. Active: Which behavior is better for predicting at-risk students in online learning? 한국 HCI 학회 학술대회, 815–821.

Hyerim Han (2025)

LIG NEX1 Researcher

hanhyerim@seoultech.ac.kr

Dissertation Title | Enhancing students’ career decision-making and motivation with a self-determination theory-based career counseling chatbot

Paper Works (1)

[1] Han, H., Park, B., & Seo, K. (2025, April). A Self-Determination Theory-based Career Counseling Chatbot: Motivational Interactions to Address Career Decision-Making Difficulties and Enhance Engagement. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1–9).

2024
Doo Soung Choi (2024)

SNC LAB LLM Engineer

dschoi@seoultech.ac.kr

Dissertation Title | Improving counseling effectiveness with virtual counselors through nonverbal compassion involving eye contact, facial mimicry, and head-nodding

Paper Works (1)

[1] Choi, D. S., Park, J., Loeser, M., & Seo, K. (2024). Improving counseling effectiveness with virtual counselors through nonverbal compassion involving eye contact, facial mimicry, and head-nodding. Scientific Reports, 14(1), 506.

Dongyub Lee (2024)

HAI LAB Ph.D. Student

dy_lee@seoultech.ac.kr

Dissertation Title | Active learning with chatbot: The impact of self-regulated learning on students’ engagement in argumentative writing

Paper Works (3)

[1] Lee, D., Lee, S., & Seo, K. (2025). Active learning with chatbot: How students engage in argumentative writing with chatbot. 한국 HCI 학회 학술대회, 320–325.

[2] Lee, S., Lee, D., & Seo, K. (2025). ArguePro: Enhancing argumentation skills through active learning with chatbots. 한국 HCI 학회 학술대회, 326–331.

[3] Lee, D., Kim, D., Loeser, M., & Seo, K. (2025, January). How Large Language Models are Transforming Teachers' Assessment of Student Competency: A Case Study on LLM-Based Report Writing. In 2025 International Conference on Electronics, Information, and Communication (ICEIC) (pp. 1–4). IEEE.

2023
Dohyun Kim (2023)

Onclev AI Engineer

dh_kim@seoultech.ac.kr

Dissertation Title | Utilization of EEG-SSVEP Neurological Biomarkers and Machine Learning for Early Detection of Mild Cognitive Impairment

Paper Works (4)

[1] Kim, D., Park, J., Choi, H., Ryu, H., Loeser, M., & Seo, K. (2024). Early Detection of Patients With Mild Cognitive Impairment Through EEG-SSVEP-Based Machine Learning Model. IEEE Access.

[2] Kim, D., Kim, Y., Park, J., Choi, H., Ryu, H., Loeser, M., & Seo, K. (2024). Exploring the relationship between behavioral and neurological impairments due to mild cognitive impairment: Correlation study between virtual kiosk test and EEG-SSVEP. Sensors, 24(11), 3543.

[3] Kim, S. Y., Park, B., Kim, D., Choi, H., Park, J., Ryu, H., & Seo, K. (2024, January). Early screening of mild cognitive impairment using multimodal VR-EP-EEG-MRI (VEEM) biomarkers via machine learning. In 2024 International Conference on Electronics, Information, and Communication (ICEIC) (pp. 1–4). IEEE.

[4] Kim, D., Park, J. S., Choi, H., Ryu, H., & Seo, K. (2023). Deep learning model for early screening of patients with Alzheimer's disease and mild cognitive impairment using EEG-SSVEP. 한국 HCI 학회 학술대회, 781–787.