Yucheng Jin 金昱成

Dr. Yucheng Jin is a Research Assistant Professor affiliated with the HCI-RecSys Group led by Dr. Li Chen at Hong Kong Baptist University (HKBU). Before joining HKBU, he was a senior UX researcher at Lenovo Research. He earned his Ph.D. degree in Computer Science from the University of Leuven (KU Leuven). During his Ph.D. study, he was a member of the HCI Augment Group, and was under the supervision of Dr. Katrien Verbert and Dr. Nava Tintarev. He holds a master's degree in Informatics from the Technical University of Munich (TUM) and a bachelor's degree in information management & information system from Wuhan University. He has published more than 20 papers in the leading conferences and journals of Human-Computer Interaction and Artificial Intelligence (e.g., CHI, CSCW, IUI, RecSys, CIKM, UMUAI) and held more than 10 patents granted in China and the U.S. He regularly serves as the program committee member for ACM RecSys and ACM IUI conferences.

Research Interests

His research is situated in the long-standing quest to "Augmenting human intellect". He does research at the intersection of Human-Computer Interaction and Artificial Intelligence with a focus on applications in health, wellbeing, augmented creativity, and music. Currently, he is researching the following topics

• Human-AI interaction
• User experience of recommender systems (e.g., trust, explanation, personalization, and user control)
• Music and augmented creativity
• Human health and wellbeing

Selected Publications

Cai, W., Jin, Y., & Chen, L. (2022, May). Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems. In CHI Conference on Human Factors in Computing Systems (CHI '22) (pp. 1-14). PDF DOI [Honorable Mention Award]

HAI UER

Cai, W., Jin, Y., & Chen, L. (2022). Task-Oriented User Evaluation on Critiquing-Based Recommendation Chatbots. IEEE Transactions on Human-Machine Systems. (pp. 1-13). DOI

HAI UER

Alvarado Rodriguez, O. L., Htun, N. N., Jin, Y., & Verbert, K. (2022). A systematic review of interaction design strategies for group recommendation systems. Proceedings of the ACM on Human-Computer Interaction (CSCW '22). (pp. 1-51) PDF (preprint)

HAI UER

Jin, Y., Chen, L., Cai, W., & Pu, P. (2021, November). Key Qualities of Conversational Recommender Systems: From Users’ Perspective. In Proceedings of the 9th International Conference on Human-Agent Interaction (HAI '21) (pp. 93-102). PDF DOI

UER

Shen, Z., Wan, X., Jin, Y., Gao, G., Wang, Q., & Liu, W. (2021, July). SeatPlus: A Smart Health Chair Supporting Active Sitting Posture Correction. In International Conference on Human-Computer Interaction (pp. 531-547). Springer, Cham. PDF DOI

HHW

Cai, W., Jin, Y., & Chen, L. (2021, April). Critiquing for music exploration in conversational recommender systems. In 26th International Conference on Intelligent User Interfaces (IUI '21) (pp. 480-490). PDF DOI

HAI MAC

Jin, Y., Deng, Y., Gong, J., Wan, X., Gao, G., & Wang, Q. (2021, April). OYaYa: A Desktop Robot Enabling Multimodal Interaction with Emotions. In 26th International Conference on Intelligent User Interfaces-Companion (IUI companion '21) (pp. 55-57). PDF ODI

HAI HHW

Jin, Y., Tintarev, N., Htun, N. N., & Verbert, K. (2020). Effects of personal characteristics in control-oriented user interfaces for music recommender systems. User Modeling and User-Adapted Interaction (UMUAI), 30(2), 199-249. PDF DOI

HAI MAC

Jin, Y., Cai, W., Chen, L., Htun, N. N., & Verbert, K. (2019, November). MusicBot: Evaluating critiquing-based music recommenders with conversational interaction. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM '19) (pp. 951-960). PDF DOI

HAI MAC

Jin, Y., Htun, N. N., Tintarev, N., & Verbert, K. (2019, June). Contextplay: Evaluating user control for context-aware music recommendation. In Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '19) (pp. 294-302). PDF DOI

HAI MAC UER

Jin, Y., Tintarev, N., & Verbert, K. (2018, September). Effects of personal characteristics on music recommender systems with different levels of controllability. In Proceedings of the 12th ACM Conference on Recommender Systems (RecSys '18) (pp. 13-21). PDF DOI [Best Paper Nominee]

HAI MAC UER

Millecamp, M., Htun, N. N., Jin, Y., & Verbert, K. (2018, July). Controlling spotify recommendations: effects of personal characteristics on music recommender user interfaces. In Proceedings of the 26th Conference on user modeling, adaptation and personalization (UMAP '18) (pp. 101-109). PDF DOI

HAI MAC UER

Jin, Y., Tintarev, N., & Verbert, K. (2018, July). Effects of individual traits on diversity-aware music recommender user interfaces. In Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization (UMAP '18) (pp. 291-299). PDF DOI

MAC UER

Jin, Y., Seipp, K., Duval, E., & Verbert, K. (2016, June). Go with the flow: effects of transparency and user control on targeted advertising using flow charts. In Proceedings of the international working conference on advanced visual interfaces (AVI '16) (pp. 68-75). PDF DOI

UER

Jin, Y., Klerkx, J., & Verbert, K. (2016, June). CircleBuy: a visual search based second screen application of buying products in videos. In Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS '16) (pp. 287-292). PDF DOI

HAI

Prehofer, C., Wagner, A., & Jin, Y. (2016, October). A model-based approach for multi-device user interactions. In Proceedings of the ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems (MODELS '16) (pp. 13-23). PDF DOI

Bongartz, S., Jin, Y., Paternò, F., Rett, J., Santoro, C., & Spano, L. D. (2012, November). Adaptive user interfaces for smart environments with the support of model-based languages. In International Joint Conference on Ambient Intelligence (AmI '12) (pp. 33-48). Springer, Berlin, Heidelberg. PDF DOI

Grants

• Wofoo Foundation research grant, 1,200,000 HKD, 2022/03-2024/02, Co-PI
• HKBU Service learning mini-grant, 30,000 HKD, 2022, PI
• HKBU Start-up Grant, 120,000 HKD, 2021, PI
• HKBU Service learning mini-grant, 30,000 HKD, 2021, PI
• Mainland-Hong Kong University Alliances Fund, 20,000 HKD, 2021, PI

Teaching

Winter semester 22/23

• COMP 4045 - Human-Computer Interaction, with Dr. Li Chen
• COMP 7990 - Principles and Practices of Data Analytics, with Dr. Lu Zhang and Dr. Kevin Wang

Winter semester 21/22

• COMP 4045 - Human-Computer Interaction, with integrating service learing into the course.
• COMP 7990 - Principles and Practices of Data Analytics, with Dr. Lu Zhang and Dr. Kevin Wang

Mentoring

MPhil/PhD

• Wanling Cai (HKBU, PhD), 04/21 - now, with Dr. Li Chen
• Xianglin Zhao (HKBU, MPhil), 10/21 - now, with Dr. Li Chen

Theses

• Danqing Liu (Ludwig Maximilian University of Munich (LMU), Bachelor thesis), 01/15 - 06/15
• Raphael Haase (TUM, Master thesis), 12/14 - 04/15

Internship

• Minzhu Zhao (HKBU) 12/21 - now
• Zhiwei Wang (Beijing Institute of Technology) 03/20 - 03/21, Lenovo Research
• Tiffany Ong (Stanford University), 06/19 - 08/19, Lenovo Research
• Yiyun Zhai (The University of Melbourne), 01/19 - 03/19, Lenovo Research
• Yuchen Jiang (Stanford University), 06/18 - 08/18, Lenovo Research
• Christina Gibbs (Stanford University), 06/17 - 08/17, Lenovo Research
• Xiaozhong Liu (The University of Melbourne), 01/17 - 03/17, Lenovo Research