Press Release

HKBU study on user trust in conversational recommender systems receives Honourable Mention Award at CHI 2022

2022.7.15

Dr. Li Chen (right), Dr. Yucheng Jin (left) and PhD student Wanling Cai (middle) received the Honorable Mention Award for their co-authored paper at the ACM CHI Conference 2022.


A research team led by Dr. Li Chen, Associate Professor, Dr. Yucheng Jin, Research Assistant Professor and PhD student Wanling Cai from the Department of Computer Science is presented Honorable Mention for their co-authored paper “Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems” at the 2022 Association for Computing Machinery (ACM) CHI Conference on Human Factors in Computing Systems (CHI 2022), a premier international conference on Human-Computer Interaction.

The award-winning paper aimed to investigate how user characteristics and system conversation design factors affect user trust in conversational recommender systems, which will be useful for optimising the design of conversational recommender systems to be more trustworthy for individual users. In this work, the research team investigated the effects of the three types of factors (user-related, system-related and context-related) on user trust. Their study revealed that user’s trust propensity and domain knowledge positively influenced with high conscientiousness tended to trust the mixed-initiative system.

CHI has been held annually since 1982 and attracts thousands of international attendees. It brings together researchers and practitioners from all over the world, from all segments of the Computer-Human Interaction community -- design, education, engineering, management, research, and usability, and from diverse cultures, backgrounds, and positionalities, who have an overarching goal to make the world a better place with interactive digital technologies.

 

[Source: HKBU Research]