About

Minjung Shin

Ph.D. Candidate & Research Assistant

Interdisciplinary Program in Cognitive Science
Seoul National University
Seoul, Korea 08826

Research Interest

Fine-grained AI evaluation, Human-like AI, Human-Robot Interaction, Curiosity, Cognitive Neuroscience, Human Factor Psychology

기계와 인공지능을 들여다보며 ‘인간다움’을 더 깊이 탐구합니다
Delving deeper into HUMANITY by looking into machine and artificial intelligence.

인간적 지능의 요소를 탐구하며 인간을 닮은 AI 개발에 도움이 되고자 합니다.
개인적으로는 호기심이라는 요소에 관심을 갖고 있습니다.
생명과학과 인지과학을 전공했습니다.
Investigating the principle of human intelligence and human-like AIs.
Particularly interested in curiosity.
I majored Biology and Cognitive Science.

Keyword

관심사

  • 사람. 관계, 마음, 지능
  • 호기심, 불확실성, 질문하기
  • 사랑, 삶, 죽음, 잘 살기, 잘 죽기

희망사항

  • 힙하게 나이들기, 스마트 에이징, 못해도 괜찮기
  • informative but warm-hearted writer

Work Experience

Dongguk University / Research Assistant

Fed, 2020 - current, Seoul, Korea

Laboratory for Natural & Artificial Kinästhese

Convergence Research Center for Artificial Intelligence (CRC4AI)

Seoul National University / Research Assistant

Sep 2018 - May 2019, Seoul, Korea

Institute for Cognitive Science

Game and Science Forum

Yonsei University / Research Assistant

Sep 2017 - Jul 2019, Seoul, Korea

Institute of Natural Sciences

KACNET / e-Learning Tutor (part-time)

Aug 2008 - Oct 2017, Online

Seoul National University / Research Assistant

Mar 2007 - Feb 2008, Seoul, Korea

Institute for Cognitive Science

Publications

Journals

  • Lee, Y. K., Park, Y., Shin, M., & Hahn, S. (2024). Effect of Feedback Styles in Robotic Fitness Coaching on Exercise Intensity. 한국 HCI 학회 논문지, 19(2), 35-45, 10.17210/jhsk.2024.06.19.2.35
    Link

  • Lee, Y. K., Lee, I., Shin, M., Bae, S., & Hahn, S. (2024). Enhancing Empathic Reasoning of Large Language Models Based on Psychotherapy Models for AI-assisted Social Support. Korean Journal of Cognitive Science, 35(1).
    Link

  • Shin, M. J., Lee, K. M., & Ryu, J. K. (2020). A Review of Major Issues on Research for Online Video Game Use and Sociability. Korean Journal of Cognitive Science, 31(3), 55-76. [Korean]
    Link, PDF

  • Kim, D. E., Shin, M. J., Lee, K. M., Chu, K., Woo, S. H., Kim, Y. R., … & Roh, J. K. (2004). Musical training‐induced functional reorganization of the adult brain: Functional magnetic resonance imaging and transcranial magnetic stimulation study on amateur string players. Human brain mapping, 23(4), 188-199.
    Link

Proceedings

  • Shin, M., Kim, D., & Ryu, J. (2024). CAUS: A Dataset for Question Generation based on Human Cognition Leveraging Large Language Models. Proceedings of the Annual Meeting of the Cognitive Science Society, 46. Retrieved from https://escholarship.org/uc/item/6522j4p0
    LINK

  • Shin, M., Choi, S., Heo, Y., Lee, M., Zhang, B., & Ryu, J. (2024). CogME: A Cognition-Inspired Multi-Dimensional Evaluation Metric for Story Understanding. Proceedings of the Annual Meeting of the Cognitive Science Society, 46. Retrieved from https://escholarship.org/uc/item/8p3137gd
    LINK

  • Shin, M., Jang, M, Cho, M., and Ryu, J-K. (2023, March). Uncertainty-Resolving Questions for Social Robots. In Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’23 Companion), https://doi.org/10.1145/3568294.3580077
    LINK

Conferences

  • Shin, M., Jang, M, Cho, M., and Ryu, J-K. (2023. August) A Dataset Design for Question Generation Based on Human Cognition [Workshop Paper]. In The 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2023). Pusan, Korea.
  • Lee YK., Park, Y., Shin, M., & Hahn, S. (2023). Effect of Factual and Empathetic Feedback Styles in Robotic Fitness Coaching on Exercise Behavior Change. Late Breaking Report for presentation at the 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2023).
  • Shin, M., Jang, M, Cho, M., and Ryu, J-K. (2023. June) A Design of a Dataset for Human-like Question Generation under Uncertainty for Interactive Robots [Work-in-Process Paper]. 2023 20th International Conference on Ubiquitous Robots (UR). Honolulu, HI., USA.
  • Shin, M., Jang, M, Cho, M., and Ryu, J-K. (2023. February) A Study on the Types of Inquiries for Generating Uncertainty-Resolving Questions [Poster]. The 18th Korea Robotics Society Annual Conference (KRoC 2023), Pyeongchang, Korea.
  • Shin, M., Kim, J., Choi, S., Kim, D., Ryu, J. K., Zhang, B. T. (2021). A cognitive-based metric for multi-dimensional evaluation for video understanding AI. Talk in 2021 한국인지과학회 학술대회, Online.
  • Heo, Y. J., Lee, M., Choi, S., Choi, W. S., Shin, M., Jung, M., … & Zhang, B. T. (2021). Toward a Human-Level Video Understanding Intelligence. Presented In: AAAI Fall Symposium on Artificial Intelligence for Human-Robot Interaction.

Preprint

  • Shin, M., Kim, D., & Ryu, J. K. (2024). CAUS: A Dataset for Question Generation based on Human Cognition Leveraging Large Language Models. arXiv preprint arXiv:2404.11835.
    Link

  • Lee, YK., Lee, I., Shin, M., Bae, S., & Hahn, S. (2023). Chain of Empathy: Enhancing Empathetic Response of Large Language Models Based on Psychotherapy Models. arXiv preprint arXiv:2311.04915.
    Link

  • Heo, Y. J., Lee, M., Choi, S., Choi, W. S., Shin, M., Jung, M., … & Zhang, B. T. (2021). Toward a Human-Level Video Understanding Intelligence. arXiv preprint arXiv:2110.04203.
    Link

  • Shin, M., Kim, J., Choi, S., Heo, Y. J., Kim, D., Lee, M., … & Ryu, J. K. (2021). CogME: A Novel Evaluation Metric for Video Understanding Intelligence. arXiv preprint arXiv:2107.09847.
    Link

Book

  • 게임하는 뇌 (몽스북) 2021 집필 참여
    Link

Projects

  • [2024-Present] 사회적, 윤리적 학습을 위한 데이터 특성 및 생성 AI 모델의 윤리성 향상 연구 (by IITP)
  • [2023-Present] Development of object-oriented synthetic data generation and evaluation methods (by IITP)
  • [2022-Present] Development of Uncertainty-Aware Agents Learning by Asking Questions (by IITP)
  • [2022] Smart Aging Avatars: Research on Intelligent Biofeedback and Visualized Human-AI Interaction Technologies (by SNU Interdisciplinary Research Project)
  • [2021] Beyond the Turing Test, Multi-modal Story Memory Structure, Video Intelligence Platform (VIP), Video QA & Problem Solving, Video Story Learning and Inference (by IITP)
  • [2020-2021] Brain Inspired AI Framework and Cognitive Convergence RnD pipeline based Health Behavior Monitoring, Diagnosis and Prescription Technology (by IITP)
  • [2020-2021] Neural mechanisms and interaction of motor efference copy and sensory feedback (by NRF)
  • [2018-2019] Video games and cognitive function (by Game and Science Forum)
  • [2018] Integrated analysis of single-cell RNA-sequencing data for deciphering the mechanism of cancer presentation (by NRF)
  • [2017-2018] Personalized Medicine of Glioblastoma by constructing ancestral graphs from single-cell data (by NRF)