Wanling CAI   
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Wanling
Wanling Cai (蔡婉铃)
Postdoctoral Reseacher

             

Welcome

Hi! I'm Wanling CAI. I am a Postdoctoral Researcher in the at the School of Computer Science and Statistics at Trinity College Dublin (TCD), working with . I am a member of & , the Irish Software Engineering Research Centre, working on the Sustainable Adaptive Security project. I am also a member of Lab.

Prior to that, I did my Ph.D study at the Department of Computer Science, Hong Kong Baptist University (HKBU), under the supervision of . Previously, I received my B.Eng degree in Software Engineering from the College of Computer Science and Software Engineering, Shenzhen University (SZU), China, in 2018. During my undergraduate study, I undertook research on intelligent recommender systems, under the supervision of .

Research Interests

My research interests are mainly in HCI + AI, aiming to take a human-centered approach to design collaborative and trustworthy AI systems to empower people and augment people. My current research explores the area of Human-AI Interaction/Collaboration for Health & Well-Being and Sustainable Security.

During my PhD, my research focused on the intersection of Human-Computer Interaction (HCI) and Recommender Systems (RS). I designed and evaluated conversational recommender systems from a human perspective to better enhance user experience and inspire user trust.

research interest

Publications

  1. Yucheng Jin*, Wanling Cai*, Li Chen, Yizhe Zhang, Gavin Doherty, and Tonglin Jiang. Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults. In: Proceedings of the 42nd ACM Conference on Human Factors in Computing Systems (CHI’24), Honolulu, Hawaii, USA, May 11-16, 2024. (to appear)
    [Paper]
  2. Yucheng Jin, Li Chen, Wanling Cai, Li Chen, and Xianglin Zhao. CRS-Que: A User-Centric Evaluation Framework for Conversational Recommender Systems. ACM Transactions on Recommender Systems, Volume 2, Issue 1, 2024.
    [Publisher]
  3. Yucheng Jin*, Wanling Cai*, Li Chen, Yuwan Dai, and Tonglin Jiang. Understanding Disclosure and Support for Youth Mental Health in Social Music Communities. In: Proceedings of the ACM on Human-Computer Interaction (CSCW), Volume 7, Issue CSCW1, April 2023.
    [Paper]
  4. Wanling Cai*, Yucheng Jin*, Xianglin Zhao, and Li Chen. “Listen to Music, Listen to Yourself”: Design of a Conversational Agent to Support Self-Awareness While Listening to Music. In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI' 23), Hamburg, Germany, April 23-28, 2023.
    [Paper] [Video]
  5. Li Chen, Wanling Cai, Dongning Yan, and Shlomo Berkovsky. Eye-tracking-based Personality Prediction with Recommendation Interfaces. User Modeling and User-Adapted Interaction (UMUAI), June 2022.
    [Publisher]
  6. Wanling Cai, Yucheng Jin, and Li Chen. Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems. In: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI' 22), New Orleans, LA, April 30-May 5, 2022. [Honourable Mention Award]
    [Paper] [Slides] [Video]
  7. Wanling Cai, Yucheng Jin, and Li Chen. Task-Oriented User Evaluation on Critiquing-Based Recommendation Chatbots. IEEE Transactions on Human-Machine Systems , Volume: 52, Issue: 3, June 2022.
    [Publisher]
  8. Yucheng Jin, Li Chen, Wanling Cai and Pearl Pu. Key Qualities of Conversational Recommender Systems: From Users’ Perspective. In: Proceedings of the 9th International Conference on Human-Agent Interaction (HAI' 21), Virtual Event Japan, November 9-11, 2021.
    [Publisher]
  9. Wanling Cai, Yucheng Jin, and Li Chen. Critiquing for Music Exploration in Conversational Recommender Systems. In: Proceedings of 26th International Conference on Intelligent User Interfaces (IUI' 21), College Station, TX, USA, April 14–17, 2021.
    [Paper] [Slides] [Video]
  10. Jannach, Dietmar, Ahtsham Manzoor, Wanling Cai, and Li Chen. A Survey on Conversational Recommender Systems. ACM Computing Surveys, Volume 54, Issue 5, Article No. 105, pages 1-36, 2021.
    [Publisher]
  11. Wanling Cai and Li Chen. Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations. In: Proceedings of 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP' 20), Genoa, Italy, July 14-17, 2020. [Best Student Paper Award]
    [Paper] [Slides] [Video] [Dataset] [ Code]
  12. Yucheng Jin, Wanling Cai, Li Chen, Nyi Nyi Htun, and Katrien Verbert. MusicBot: Evaluating Critiquing-based Music Recommenders with Conversational Interaction. In: Proceedings of 28th ACM International Conference on Information and Knowledge Management (CIKM' 19), Beijing, China, November 3-7, 2019.
    [Paper] [Slides] [Poster]
  13. Wanling Cai and Li Chen. Towards a Taxonomy of User Feedback Intents for Conversational Recommendations. In: Proceedings of 13th ACM Conference on Recommender Systems (RecSys' 19), Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019.
    [Paper] [Poster]
  14. Wanling Cai, Jiongbin Zheng, Weike Pan, Jing Lin, Lin Li, Li Chen, Xiaogang Peng, and Zhong Ming. Neighborhood-Enhanced Transfer Learning for One-Class Collaborative Filtering. Neurocomputing (0925-2312), vol. 341, pages 80-87, 2019.
    [Paper]
  15. Weike Pan, Qiang Yang, Wanling Cai, Yaofeng Chen, Qing Zhang, Xiaogang Peng and Zhong Ming. Transfer to Rank for Heterogeneous One-Class Collaborative Filtering. ACM Transactions on Information Systems (TOIS) (1046-8188), 37(1):10:1-10:20, January 2019.
    [Publisher]
  16. Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang and Zhong Ming. Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation. In: Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning (RecSysKTL 2017) co-located with the 11th ACM Conference on Recommender Systems (RecSys' 17), Como, Italy, August 27-31, 2017.
    [Short Paper] [Video]

Professional Services

Conference Organization Program Committee Member Invited Reviewer Talks/Conference Presentations Book Review

Teaching Assistant

Awards