Welcome
Hi! I'm Wanling CAI. I am a Postdoctoral Researcher in the Health Technology Design Group
at the School of Computer Science and Statistics at Trinity College Dublin (TCD), working with Prof. Gavin Doherty.
I am a member of SPARE & Lero, the Irish Software Engineering Research Centre, working on the Sustainable Adaptive Security project.
I am also a member of PI (Positive Intelligence) 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
Prof. Li Chen.
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
Prof. Weike Pan.
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.
Publications
♱ indicates equal contributions
Journal
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Yucheng Jin, Li Chen, Wanling Cai 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]
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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]
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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]
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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]
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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]
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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]
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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]
Conference
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
Posters & Workshop Papers
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Wanling Cai, Liliana Pasquale, Kushal Ramkumar, John McCarthy, Bashar Nuseibeh and Gavin Doherty.
Human-AI Collaboration for Sustainable Security: Opportunities and Challenges (Poster).
In: The Nineteenth Symposium on Usable Privacy and Security (SOUPS '23), Anaheim, CA, United States, August 6-8, 2023.
[Open Access]
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Ahtsham Manzoor, Wanling Cai and Dietmar Jannach.
Factors Influencing the Perceived Meaningfulness of System Responses in Conversational Recommendation.
In: IntRS'23: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (RecSys '23), Singapore (hybrid event), September 18, 2023.
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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
- Publicity Co-Chair of The 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP '24)
- Publicity Co-Chair of The 29th Annual Conference on Intelligent User Interfaces (IUI '24)
- Inclusion and Accessibility Co-Chair of The 17th ACM Conference on Recommender Systems (RecSys '23)
- Proceedings Co-Chair of The 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP '23)
- Publicity Co-Chair of The 20th International Conference on Mobile and Ubiquitous Multimedia (MUM '21)
Program Committee Member
- 2024 ACM Conference on Human Factors in Computing Systems (CHI '24) Late-Breaking Work
- 2024 29th ACM Conference on Intelligent User Interfaces (IUI '24) Regular papers
- 2024 33rd ACM Web Conference (WWW '24) Research Paper Track on User Modeling and Personalization
- 2023 31st ACM Conference on User Modeling, Adaptation and Personalization (UMAP '23) Regular papers
- 2023 32nd ACM Web Conference (WWW '23) Research Paper Track on User Modeling and Personalization
- 2022 16th ACM Conference on Recommender Systems (RecSys '22) Regular papers [Outstanding Reviewer]
- 2022 21st International Conference on Mobile and Ubiquitous Multimedia (MUM '22) Long and short papers
- 2021 20th International Conference on Mobile and Ubiquitous Multimedia (MUM '21) Long and short papers & Posters
Invited Reviewer
- ACM Conference on Human Factors in Computing Systems (CHI '23 & CHI '24) [Special Recognitions for Outstanding Reviews]
- International Journal of Human-Computer Studies (IJHCS), 2024
- ACM Transactions on Recommender Systems (TORS), 2023
- ACM Transactions on Information Systems (TOIS), 2022
- International Journal of Human-Computer Interaction (IJHCI), 2022, 2023
- ACM Transactions on Interactive Intelligent Systems (TiiS), 2021 & 2022 & 2023
- Journal of Intelligent Information Systems (JIIS), 2021
- Frontier in Artificial Intelligence, 2021
- Neurocomputing (NEUCOM), 2020
- Knowledge-Based Systems (KBS), 2018 & 2020 & 2021
- Sub-Reviewer, The Web Conference (WWW), 2019
Talks/Conference Presentations
- "Personal Experience in Academic Writing and Presentation", Department of Computer Science, Hong Kong Baptist University, Hong Kong, P.R. China, November 02, 2021.
- "Design and Evaluation of Conversational Agents", Department of Journalism, Hong Kong Baptist University, Hong Kong, P.R. China, April 21, 2021.
- "Critiquing for Music Exploration in Conversational Recommender Systems", IUI 2021 Conference Presentation (Virtual).
- "Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations", UMAP 2020 Conference Presentation (Virtual).
- "Conversational Agents: Introduction, Design and Evaluation", Department of Journalism, Hong Kong Baptist University, Hong Kong, P.R. China, April 2, 2020.
- "MusicBot: Evaluating Critiquing-based MusicRecommenders with Conversational Interaction", CIKM 2019 Conference Presentation, Beijing, China, November 3-7, 2019.
Book Review
- Review of book chapter translation: Marco de Gemmis, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, and GiovanniSemeraro. Semantics-Aware Content-Based Recommender Systems.Chapter 4 of Recommender Systems Handbook (Second Edition), Springer, 2015.
- Review of book chapter translation: Gediminas Adomavicius and YoungOk Kwon. Multi-Criteria Recommender Systems. Chapter 25 of Recommender Systems Handbook (Second Edition), Springer, 2015.
Teaching Assistant
- COMP 4135/7240 Recommender Systems and Applications / Recommender Systems
2021-2022 S2, Excellent Teaching Assistant Performance Award
- COMP 4136 Natural Language Processing
2021-2022 S1, Excellent Teaching Assistant Performance Award
- COMP 1006 Facets of Computing
2021-2022 S1, Excellent Teaching Assistant Performance Award
- COMP 3925 Data Analysis Studio
2019-2020 S2, Excellent Teaching Assistant Performance Award
2020-2021 S2, Teaching Assistant Performance Award
- COMP 2865 Fundamental of Data Analysis and Management
2019-2020 S1, Teaching Assistant Performance Award
2020-2021 S1, Excellent Teaching Assistant Performance Award
- COMP 4015/7015 Artificial Intelligence and Machine Learning
2018-2019 S2, Excellent Teaching Assistant Performance Award
Awards
- 2022, Madam Kwok Chung Bo Fun PhD Student Research Excellence Awards (3rd Prize)
- 2022, CHI 2022 Honourable Mentions Award
- 2022, ACM SIGCHI Gary Marsden Travel Awards
- 2020 - 2022, RPg Performance Awards, HKBU-COMP
- 2022, Research Excellence Award, The 25th Research Postgraduate Symposium (PG Day), HKBU-COMP
- 2021, Best Presentation Award, The 24th Research Postgraduate Symposium (PG Day), HKBU-COMP
- 2020, Best Presentation Award, The 23rd Research Postgraduate Symposium (PG Day), HKBU-COMP
- 2020, The James Chen Best Student Paper Award in ACM UMAP 2020
- 2020, ACM UMAP Student Travel Grant (Virtual)
- 2019, ACM SIGIR Student Travel Grant, CIKM 2019
- 2018 - 2022, Research Postgraduate Studentship, HKBU
- 2018, Outstanding Graduate, SZU, China
- 2015-2017, National Encouragement Scholarship, SZU, China
- 2015-2016, Excellent Student of Academic Performance (First Prize), SZU, China