Shuai Ma (马帅)

Hi, this is Shuai. I am a 3rd year PhD candidate in HCI Lab at Hong Kong University of Science and Technology (HKUST). I'm fortunate to be advised by Prof. Xiaojuan Ma. Previously, I was trained in HCI (my master's degree) from the HCI lab of Chinese Academy of Science, supervised by Prof. Feng Tian. I also luckily worked with Prof. Xiangmin Fan, Prof. Dakuo Wang, Prof. Ming Yin.

My research interest focuses on improving human-AI interaction experience with human-centered design. My previous work targets personalization, transparency, trust, and adaptability issues when humans interact with AI agents/systems.

  • In the theoretical part, I focus on improving human-AI collaboration by designing transparent communication mechanisms between humans and AI and promoting humans' appropriate reliance on AI's recommendations (e.g., trust calibration). I have designed computational models and run empirical studies to understand users' mental models in human-AI collaboration (e.g., in AI‑assisted decision‑making and machine/robot teaching).

  • In the application part, I adopt human-centric design to develop AI-empowered tools to assist users in solving real-world problems in various domains, such as Education (e.g., MOOC learning, online classes), Work (e.g., photo-taking, video-editing), and Healthcare (e.g., Parkinson’s disease detection, online health community support).

a portrait of shuai ma

Selected Publications

Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making

Shuai Ma, Ying Lei, Xinru Wang, Chengbo Zheng, Chuhan Shi, Ming Yin, Xiaojuan Ma. (CHI 2023)
[PDF] [Code] [Live Demo] [Video]

We proposed to promote humans' appropriate trust based on the correctness likelihood of both sides at a task-instance level. Results from a between-subjects experiment (N=293) showed that our CL exploitation strategies promoted more appropriate human trust in AI, compared with only using AI confidence.

Modeling Adaptive Expression of Robot Learning Engagement and Exploring its Effects on Human Teachers

Shuai Ma, Mingfei Sun, Xiaojuan Ma. (TOCHI 2022)
[PDF] [Code] [Live Demo] [Video]

For human-robot teaching scenario, we propose an adaptive modeling and expression method to facilitate the transparent communication of robots' learning statuses during human demonstration.

Glancee: An Adaptable System for Instructors to Grasp Student Learning Status in Synchronous Online Classes

Shuai Ma, Taichang Zhou, Fei Nie, Xiaojuan Ma. (CHI 2022)
[PDF] [Code] [Live Demo] [Video]

Focusing on synchronous online classes (e.g., real-time Zoom-based classes), Glancee address instructors’ difficulty to observe students’ learning status due to students’ unwillingness to show their videos. Specifically, we mitigate the gap that lack of empirical investigation on instructors’ preferences and lack of exploration of designing adaptable systems to meet the needs of individual instructors.

Latest News

  • 2023-1-24 | Happy to be a student volunteer at CHI 2023! See U in Germany.
  • 2023-1-20 | Start my AC work for CHI 2023 LBW.
  • 2023-1-14 | Three papers got accepted by CHI 2023! Congrats to my co-authors.
  • 2022-8-5 | Our paper 'Modeling Adaptive Expression of Robot Learning Engagement' has been accepted by TOCHI!
  • 2022-4-19 | I passed my PhD Qualifying Exam and became a PhD candidate! Thanks for my committee members' valuable feedback!
  • 2022-3-10 | Happy to be a student volunteer at CHI 2022!
  • 2022-2-10 | Our paper Glancee is conditionally accepted at CHI 2022.
More >

Teaching Assistant Service

  • 2021-2022 Fall COMP 1021 - Introduction to Computer Science
  • 2020-2021 Spring COMP 1021 - Introduction to Computer Science


Program Committee: ACM CHI '23 LBW
Conference Review: ACM CHI '23 (1)(2), '22, '20, '19, CSCW '23, UIST '22, CHI EA '23, '22, WWW '21
Journal Review: ACM TOCHI, ACM TiiS, CCF TOPCI
Volunteer: CHI' 22 (3), CHI' 23
(1) received Special Recognition for Outstanding Reviews for CHI 23
(2) (3) received Student Volunteer Award for CHI 22, 23


  • 2020 HKUST Redbird PhD Scholarship
  • 2019 CHI Honorable Mention Award
  • 2019 President Scholarship in Chinese Academy of Sciences (1%)
  • 2018 National Scholarship for Graduate (1%)
  • 2018 Pacemaker of Merit Student of UCAS (1%)
  • 2018 Winner of Huawei Cup Free Software Programming Competition
  • 2017 Excellence Award for Science Creation Program of Chinese Academy of Sciences
  • 2017 Special Scholarship for Undergraduates & the best ten students of HIT (0.1%)
  • 2017 Excellent Graduates in Harbin Institute of Technology
  • 2016 National Scholarship for Undergraduate (1%)
  • 2016 Pacemaker of Merit Student of HIT (0.1%)
  • 2016 Pacemaker to Merit Student Cadres of HIT (0.1%)
  • 2016 Winner of The 5th National Marine Vehicle Design and Manufacturing Competition
  • 2016 Winner of The 18th National Robot Championship