About Me
My name is Dingdong LIU. I’m currently a PhD candidate in department of Computer Science and Engineering (CSE) at the HCI Initiative of HKUST, supervised by Prof. Xiaojuan, MA and Prof. Fugee, TSUNG since 2022. I also do research on humanoid robot with Prof. Bertram Emil SHI in Center for Aging Science. Prior to that, I earned my Bachelor’s Degree in Computer Science and Data Science at HKUST.
My research interest lies in robotics and Human-Computer Interaction (HCI), with a focus on exploring interaction mode between human and AI agents (chatbots, physical robots, etc.). I aim to gain insights into the capabilities that an agent should have to better support human in various tasks, including daily task planning and decision making, medical services, etc.
Publications
Dynamic Prompting Improves Turn-taking in Embodied Spoken Dialogue Systems
Yifan Shen, Dingdong Liu, Xiaoyu Mo, Fugee Tsung, Xiaojuan Ma, Bertram E. Shi
Scaffolded Turns and Logical Conversations: Designing Humanized LLM-Powered Conversational Agents for Hospital Admission Interviews
Dingdong Liu, Yujing Zhang, Bolin Zhao, Shuai Ma, Chuhan Shi, and Xiaojuan Ma. 2025. Scaffolded Turns and Logical Conversations: Designing Humanized LLM-Powered Conversational Agents for Hospital Admission Interviews. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 643, 1–23. https://doi.org/10.1145/3706598.3714196
InsightBridge: Enhancing Empathizing with Users through Real-Time Information Synthesis and Visual Communication
Junze Li, Yue Zhang, Chengbo Zheng, Dingdong Liu, Zeyu Huang, and Xiaojuan Ma. 2025. InsightBridge: Enhancing Empathizing with Users through Real-Time Information Synthesis and Visual Communication. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 167, 1–15. https://doi.org/10.1145/3706598.3713640
A Humanoid Robot Dialogue System Architecture Targeting Patient Interview Tasks
Yifan SHEN*, Dingdong Liu*, Yejin Bang*, Ho Shu Chan, Rita Frieske, Hoo Choun CHUNG, Jay Patrick Monton Nieles, Tianjia ZHANG, Trung Kien Pham, Wai Yi Rosita CHENG, YINI FANG, Qifeng Chen, Pascale FUNG, Xiaojuan Ma, Bertram Emil Shi. 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN), Pasadena, CA, USA, 2024, pp. 1394-1401, doi: 10.1109/RO-MAN60168.2024.10731285.
Exploring Scaffolding Techniques for Agent-Administered Brief Cognitive Screening in Hospital Settings
Dingdong Liu, Sensen Gao, Zixin Chen, Yifan Shen, Chuhan Shi, Bertram E. Shi, and Xiaojuan Ma. 2024. Exploring Scaffolding Techniques for Agent-Administered Brief Cognitive Screening in Hospital Settings. In Companion Publication of the 2024 ACM Designing Interactive Systems Conference (DIS '24 Companion). Association for Computing Machinery, New York, NY, USA, 185-189. https://doi.org/10.1145/3656156.3663697
CoArgue : Fostering Lurkers’ Contribution to Collective Arguments in Community-based QA Platforms
Chengzhong Liu, Shixu Zhou, Dingdong Liu, Junze Li, Zeyu Huang, and Xiaojuan Ma. 2023. CoArgue_: Fostering Lurkers' Contribution to Collective Arguments in Community-based QA Platforms. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 271, 1-17. https://doi.org/10.1145/3544548.3580932
PlanHelper: Supporting Activity Plan Construction with Answer Posts in Community-based QA Platforms
Chengzhong Liu, Zeyu Huang, Dingdong Liu, Shixu Zhou, Zhenhui Peng, and Xiaojuan Ma. 2022. PlanHelper: Supporting Activity Plan Construction with Answer Posts in Community-based QA Platforms. Proc. ACM Hum.-Comput. Interact. 6, CSCW2, Article 454 (November 2022), 26 pages. https://doi.org/10.1145/3555555
Exploring the Effects of Self-Mockery to Improve Task-Oriented Chatbot’s Social Intelligence
Chengzhong Liu, Shixu Zhou, Yuanhao Zhang, Dingdong Liu, Zhenhui Peng, and Xiaojuan Ma. 2022. Exploring the Effects of Self-Mockery to Improve Task-Oriented Chatbot's Social Intelligence. In Proceedings of the 2022 ACM Designing Interactive Systems Conference (DIS '22). Association for Computing Machinery, New York, NY, USA, 1315-1329. https://doi.org/10.1145/3532106.3533461