Hyojin Chin

Hyojin Chin

Senior Researcher @ Data Science Group, Center for Mathematical and Computational Sciences, Institute for Basic Science (IBS).

Publications

Refereed Journals

  1. Hyojin Chin, Hyeonho Song, Gumhee Baek, Mingi Shin, Chani Jung, Jeonghoi Choi, Meeyoung Cha and Chiyoung Cha. The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures. Journal of Medical Internet Research.2023;25:e51712 (IF 7.4 / SCIE / Q1 / 97.6%)
  2. Hyojin Chin, Gabriel Lima, Mingi Shin, Assem Zhunis, Chiyoung Cha, Junghoi Choi and Meeyoung Cha. User-Chatbot Conversations During the COVID-19 Pandemic: Study Based on Topic Modeling and Sentiment Analysis.Journal of Medical Internet Research.2023;25:e40922 (IF 7.4 / SCIE / Q1 / 97.6%)
  3. Hyojin Chin, Chani Jung, Gumhee Baek, Chiyoung Cha, Jeonghoi Choi, and Meeyoung Cha. 2022. Understanding the Categories and Charac- teristics of Depressive Moods in Chatbot Data. KIPS Transactions on Software and Data Engineering, 11, 9, (2022), 381-390. [KCI]
  4. Hyojin Chin and Mun Yong Yi. 2021. Voices that Care Differently: Understanding the Effectiveness of a Conversational Agent with an Alternative Empathy Orientation and Emotional Expressivity in Mitigating Verbal Abuse. International Journal of Human–Computer Interaction. (IF 4.7 / SCIE / SSCI / Q1)
  5. Kim, Seongchan, Jincheul Jang, Seongchan Kim, Hyojin Chin, and Mun Yong Yi. 2016. Job Preference Analysis and Job Matching System Development for the Middle Aged Class. Journal of Intelligence and Information Systems, 22(4), 247–264. [KCI]

Conference Proceedings (International)

  1. Mingi Shin, Hyojin Chin, Hyeonho Song, Yubin Choi, Jeonghoi Choi, Meeyoung Cha. Context-Aware Offensive Language Detection in Human-Chatbot Conversations. IEEE International Conference on Big Data and Smart Computing (BigComp 2024) (Accepted)

  2. Soo Young Bae, Hyojin Chin, Meeyoung Cha. Algorithm-driven News Outcomes on Political Knowledge and Rumor Beliefs. In Extended Abstracts of the 2022 International Communication Association Conference, 2022

  3. M. Whiting, S. Park, M. Cha, S.W. Lee, Hyojin Chin, and M.M. Molaie, Do differences in national or political identity matter more for preferences? 8th The International Conference for Computational Social Science (IC2S2), 2022

  4. Sungkyu Park, Jamie Yejean Park, Hyojin Chin, Jeong-han Kang, and Meeyoung Cha. 2021. An Experimental Study to Understand User Experience Perception Bias Occurred by Fact-checking Messages. InLjubljana ’21:30th The Web Conference, April 19–23, 2021, Ljubljana, Slovenia. ACM, NewYork, NY, USA, 12 pages.
  5. Hyojin Chin, Lebogang Wame Molefi, and Mun Yong Yi. 2020. Empathy Is All You Need: How a Conversational Agent Should Respond to Verbal Abuse. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13.
  6. Hyojin Chin and Mun Yong Yi. 2019. Should an Agent Be Ignoring It?: A Study of Verbal Abuse Types and Conversational Agents’ Response Styles. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA ‘19). ACM, New York, NY, USA, Paper LBW2422, 6 pages.
  7. Hyojin, Chin, et al. “Explicit Content Detection in Music Lyrics Using Machine Learning.” 2018 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2018.
  8. Hyojin Chin, Hengameh Zabihi, Sangkeun Park, Mun Yong Yi, and Uichin Lee. 2017. WatchOut: Facilitating Safe Driving Behaviors with Social Support. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ‘17). ACM, New York, NY, USA, 2459-2465.

Conference Proceedings (Korean)

  1. G. Baek, C. Cha, J. Choi, M. Cha, and Hyojin Chin, Depression-related discourse between AI chatbot and users: A qualitative study. Proceedings of the Korean Information Science Society Conference, 2023

  2. C. Jung, H. Song, Hyojin Chin, M. Shin, and M. Cha, Contrastive Learning for Hate Speech Detection. Proceedings of the Korean Information Science Society Conference, 2022

  3. A. Zhunis, G. Lima, Hyojin Chin, M. Shin, J. Choi, C. Cha, and M. Cha. Unique Characteristics of Human-Chatbot Conversations and Their Potential for Mental Health Support, 2022

  4. Hyojin Chin et al. 2022. Characteristics and Differences of Depressive Moods in Korean and English Chatbot Data. Proceedings of HCI Korea 2022, pp.107-111

  5. Hyojin Chin et al. 2021. A Study on the Categories and Characteristics of Depressive Moods in Chatbot Data. Proceedings of the Korea Information Processing Society Conference, 28(2) pp.993-996

  6. Mingi Shin and Hyojin Chin et al. 2021. Hate Speech Detection in Chatbot Data Using KoELECTRA. Proceedings of the 33th Annual Conference on Human and Cognitive Language Technology, pp.518-523

  7. Hyojin Chin and Mun Yong Yi. 2017. A Study on the Influence of Contents of Internet News Comments on the Acceptance of New Car Products. Proceedings of the Korean Information Science Society Conference. 605-608

  8. Kim, Seongchan, Jincheul Jang, Seong Jung Kim, Hyojin Chin and Mun Yong Yi. 2016.Job Preference Analysis and Job Matching System Development for the Middle-Aged Class. Journal of Intelligence and Information Systems. 22(4), 247–264

  9. SeongJung Kim, Seongchan Kim, Jincheul Jang, Hyojin Chin, and Mun Y. Yi. 2016. Job Preference and Selection Analysis of Senior People for Developing Senior Job Recommendation Algorithm. Proceedings of the Korean Information Science Society Conference, 331-333.

  10. Jincheul Jang, Dapeng Zhao, Seongchan Kim, Hyojin Chin, SeongJung Kim, and Mun Y. Yi. 2016. Requirement Analysis of Personalized Job Matching Service for Middle-Aged Adults in South Korea. Proceedings of the HCI Society of Korea, 68-69.

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