Xinyue Chen

Bio

Hi, I'm Xinyue Chen. I am currently a forth-year PhD candidate at Computer Science and Engineering, University of Michigan, Ann Arbor, supervised by Prof. Xu Wang. Previously, I received my B.S. in the Department of Information Management from Peking University , advised by Prof. Pengyi Zhang. I also worked as a research intern at the "Intentional Meeting" group at Microsoft Research, Cambridge, UK mentored by Sean Rintel, Lev Tankelevitch, and Payod Panda.

Research interests

  • Designing and evaluating human-AI tools for enhancing individual and collective sense-making, particularly in dynamic and information-rich environments such as live video lectures and online meetings. My work focuses on creating systems that externalize cognitive processes, establish shared representations, and foster common ground in collaborative scenarios.
  • Exploring mechanisms to surface user intentions through AI-mediated interactions, enabling seamless communication of underlying goals and fostering deeper human-human understanding. This includes leveraging natural intention expression between human and AI to create unified human-human-AI common ground.
  • Investigating the balance between human agency and AI assistance, ensuring users engage with AI critically, maintain control over cognitive activities, and avoid over-reliance on AI assistance. Based on the understanding, I develop theoretical frameworks that understand the desirable AI assistance level in sense-making activities.

    • See more in my CV.

    xinyuech@umich.edu


    · ·

    Publications

        meeting

        MeetMap: Generating Dialogue Maps as Real-Time Cognitive Scaffolds for Online Meetings.

        Xinyue Chen, Nathan Yap, Xinyi Lu, Aylin Gunal, Xu Wang

        CSCW2025

        PDF


        vbog

        🏆 "Looking Together ≠ Seeing the Same Thing: Understanding Surgeons' Visual Needs During Intra-operative Coordination and Instruction

        Xinyue Chen*, Vitaliy Popov*, Jingying Wang, Michael Kemp, Gurjit Sandhu, Taylor Kantor, Natalie Mateju, Xu Wang (* indicates equal contribution)

        CHI2024 Honorable Mention Award

        PDF · Pre-print


        meeting

        MeetScript: Transcript-based Interactions Give People Additional Participation Channels in Group Video Meetings

        Xinyue Chen, Shuo Li, Shipeng Liu, Robin Fowler, Xu Wang

        CSCW2023

        PDF · ACM · Video


        vbog

        “My Culture, My People, My Hometown”: Chinese Ethnic Minorities Seeking Cultural Sustainability by Video Blogging

        Si Chen *, Xinyue Chen *, Zhicong Lu, Yun Huang

        CSCW2023

        PDF · ACM


      vbog

      Towards Scaling Mixed-Methods Formative Assessments(MixFA) in Classrooms: A Clustering Pipeline to Identify Student Knowledge

      Xinyue Chen, Xu Wang

      AIED2022

      PDF · Springer


      vbog

      🏆 “I was afraid, but now I enjoy being a streamer!’’: Understanding the Challenges and Prospects of Using Live Video Streaming for Online Education

      Xinyue Chen, Si Chen, Xu Wang, Yun Huang

      CSCW2021 Honorable Mention Award

      PDF · ACM · Video

    Late-Breaking Work/ Posters/ Workshops

      vbog

      Balancing Cognitive Effort and AI Assistance: an AI-assisted Sensemaking Framework for Synchronous Communication

      Xinyue Chen, Xu Wang

      CHI2024 - Sensemaking Workshop

      Link


      vbog

      Towards Supporting Intraoperative Coordination and Entrustment in Surgical Faculty-Resident Dyads: Looking Together ≠ Seeing the Same Thing

      Vitaliy Popov, Xinyue Chen, Michael Kemp, Gurjit Sandhu, Taylor Kantor, Natalie Mateju, Xu Wang

      CHI2022 - Late Breaking Work

      PDF · ACM · Video

    Updates

    • [April 2024] 🏆 Our paper “Looking Together ≠ Seeing the Same Thing: Understanding Surgeons' Visual Needs During Intra-operative Coordination and Instruction” got an honorable mention award in CHI2024
    • [April 2024] I'm going to start an internship at the Blended Reality for Effective Workflows (BREW) research group , Microsoft Research, Cambridge, UK
    • [March 2024] 🏆 So excited to be nominated as one of the 2024-2025 Barbour Scholars , the most prestigious scholarship funds exceptional women from Asia in University of Michigan

    Experience

    • Microsoft

      Microsoft Research, Cambridge, UK

      Research Intern, June 2024 - Aug 2024

      Mentor: Sean Rintel, Lev Tankelevitch, Payod Panda

      Topic: AI-assisted during meeting reflection.

    • LLL

      LifeLongLearning Lab, University of Michigan, Ann Arbor

      Research Assistant, June 2020 - Now

      Mentor: Xu Wang

      Topic: Designing online meeting and learning tools which support better mutual understanding.

    • salt

      SALT Lab, University of University of Illinois at Urbana-Champaign

      Research Intern, Feb 2020 - April 2021

      Mentor: Yun Huang

      Topic: Understanding the new trend and practice in video community in China.

    • FBAI

      Department of Information Management, Peking University

      Undergraduate Student, Sep 2017 - July 2021

      Supervior: Pengyi Zhang

      Received Bachelor's Degree (with Honors) at PKU.