Li Chen has obtained her Ph.D. degree in July 2008, in Human Computer Interaction (HCI) group (under supervision of Dr. Pearl Pu) at Swiss Federal Institute of Technology in Lausanne (EPFL). She has participated in a Swiss National Science Foundation project since 2004, and worked on user issues for online decision systems in e-commerce environments. The research goal is to design and develop intelligent and adaptive user interfaces to improve users’ decision quality, save their effort and increase subjective perceptions such as decision confidence and trust.
Before joining the HCI group in EPFL in October 2003, she obtained her Bachelor and Master degrees in Computer Science at Peking University, one of the top universities in China. During her graduate study, she worked as a research assistant in the Database Lab, actively participating in two National Key and Fundamental Projects. Both were related to the development of advanced database technologies to serve for mobile devices and online massive content integration and retrieval.
Human computer interaction, interactive decision aids, recommender systems, e-commerce, user experience research, intelligent user interaction design, eye-tracking studies, cross-cultural experiments.
Increasing User Trust in Online Recommender Websites with Explanation Interfaces
- I have developed a trust model specialized for the recommender system. I revealed the qualitative relationship between users’ competence perception and behavioral intentions such as intention to purchase and intention to return, and exposed the potential positive effect of explanation interfaces on trust promotion. I proposed the preference-based organization interface for generating recommendation explanations, and demonstrated its significantly positive influence on users’ competence-inspired trust promotion. In addition, the preference-based organization interface was found not only performing as an effective explanation technique, but also more accurately guiding users to conduct tradeoff navigations with a relatively lower level of effort compared to related works.
Improving User Decision Accuracy via Critiquing-based Recommender Agents
- I have actively participated in designing and developing intelligent tradeoff supports (called example critiquing aids) to improve users’ decision accuracy as well as performance. By means of real-user studies, I found that users’ decision accuracy could be significantly highly improved after performing tradeoffs via the example critiquing support. In addition, I compared two typical types of critiquing aids: user-initiated critiquing and system-suggested critiques, and identified their respective pros and cons. I have further developed a hybrid critiquing-based recommender system to combine the two approaches’ strengths together, and proven its outstanding performance among people from different cultural backgrounds (oriental and western cultures).
- Li Chen. User Decision Improvement and Trust Building in Product Recommender Systems. PhD Thesis, EPFL, No. 4140, Lausanne, Switzerland, 2008. [pdf]
- Li Chen and Pearl Pu. Interaction Design Guidelines on Critiquing-based Recommender Systems. User Modeling and User-Adapted Interaction Journal (UMUAI), 2008.
- Pearl Pu and Li Chen. User-Involved Preference Elicitation for Product Search and Recommender Systems. Artificial Intelligence Magazine, 2008.
- Pearl Pu, Li Chen and Pratyush Kumar. Evaluating Product Search and Recommender Systems for E-Commerce Environments. Electronic Commerce Research Journal 8(1-2), 2008, 1-27.
- Pearl Pu and Li Chen. Trust-Inspiring Explanation Interfaces for Recommender Systems. Knowledge-Based Systems Journal 20, 2007, 542-556.
Highly Selective Peer-Reviewed Conference Papers
- Li Chen and Pearl Pu. A Cross-Cultural User Evaluation of Product Recommender Interfaces. In Proceedings of ACM Recommender Systems Conference, Lausanne, Switzerland, October 23-25, 2008. (Acceptance rate: 22%)
- Li Chen and Pearl Pu. The Evaluation of a Hybrid Critiquing System with Preference-based Recommendations Organization. In Proceedings of ACM Recommender Systems Conference, pages 169-172, Minneapolis, Minnesota, USA, October 19-20, 2007.
- Li Chen and Pearl Pu (best student paper award). Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems. In Proceedings of International Conference on User Modeling (UM’07), pages 77-86, Corfu, Greece, June 25-29, 2007. (Acceptance rate: 19.6%, paper, conference presentation)
- Li Chen and Pearl Pu. Hybrid Critiquing-based Recommender Systems. In Proceedings of International Conference on Intelligent User Interfaces(IUI’07), pages 22-31, Hawaii, USA, January 28-31, 2007. (Acceptance rate: 22%, paper, conference presentation)
- Li Chen and Pearl Pu. Evaluating Critiquing-based Recommender Agents. In Proceedings of Twenty-first National Conference on Artificial Intelligence (AAAI’06), pages 157-162, Boston, USA, July 2006. (Acceptance rate: 21%, paper)
- Pearl Pu and Li Chen. Trust Building with Explanation Interfaces. In Proceedings of International Conference on Intelligent User Interface (IUI’06), pages 93-100, Sydney, Australia, Jan.-Feb. 2006. (Acceptance rate: 24%, paper, conference presentation)
- Pearl Pu and Li Chen. Integrating Tradeoff Support in Product Search Tools for E-commerce Sites. In Proceedings of ACM Conference on Electronic Commerce (EC’05), pages 269-278, Vancouver, Canada, June 2005. (Acceptance rate: 28%, paper)
Workshop and Technical Report
- Li Chen and Pearl Pu. Trust Building in Recommender Agents. Workshop of 2nd International Conference on E-Business and Telecommunication Networks (ICETE’05), pages 135-145, Reading, UK, October 2005. (paper, conference presentation)
- Li Chen and Pearl Pu. Survey of Preference Elicitation Methods, Technical Report No. IC/200467, Swiss Federal Institute of Technology in Lausanne (EPFL), Lausanne, Switzerland, July 2004. (paper)
- Li Chen, Peixiang Zhao, Lijun Chen, Dongqing Yang and Shiwei Tang. A Materialized View-based Data Synchronization Mechanism in Mobile Database. Proceedings of 19th China National Conference on Databases, Aug. 2002. (Chinese Journal of Computer Science, 2002, Vol.29 No. 8, pp. 211-214).
- Member of AAAI association
- Reviewer for ACM Transactions on Computer-Human Interaction (TOCHI), International Journal of Electronic Commerce (IJEC), IEEE Intelligent Systems, UM’07, IUI’08, RecSys’08, etc.
- Teaching assistant of Human Computer Interaction in IC school, EPFL (from 2004 till 2008)
- Supervision of five students’ bachelor, semester and master projects in IC school, EPFL (from July 2004 to February 2008)
- Teaching assistant of “Introduction to Database Systems” in Peking Univ., China (from September 2001 to January 2002)