Bio
Hi, I'm Xinyue Chen. I am currently a third-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
Research interests
My work investigates strategies to support the grounding process in collaboration, communication, and learning. Specifically, I develop human-AI collaborative techniques to assist people in making sense of information in streaming contexts, e.g., video meetings, and live lectures. Building on my experiences in designing AI-mediated communication systems, I explored the nuances of the AI assistance dilemma in communication and streaming-based learning contexts: to determine the desirable AI assistance levels that can minimize extraneous cognitive load in real-time sensemaking while maintaining user active engagement, and balance their reliance on AI with user agency. See more in my CV.
Publications
🏆 "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
Late-Breaking Work/ Posters/ Workshops
Balancing Cognitive Effort and AI Assistance: an AI-assisted Sensemaking Framework for Synchronous Communication
Xinyue Chen, Xu Wang
CHI2024 - Sensemaking Workshop
On-going projects
MeetMap: Generating Dialogue Maps as Real-Time Cognitive Scaffolds for Online Meetings.
Updates
- [May 2023] I will present our paper "Looking Together ≠ Seeing the Same Thing: Understanding Surgeons' Visual Needs During Intra-operative Coordination and Instruction" at CHI2024, May 14th 11:00 am at the healthcare training session
- [May 2023] I'll participate in CHI Sensemaking Workshop and present our workshop paper: "Balancing Cognitive Effort and AI Assistance: an AI-assisted Sensemaking Framework for Synchronous Communication". Looking forward to chatting with people with similar research interests!
- [April 2023] 🏆 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 2023] I'm going to start an internship at the Blended Reality for Effective Workflows (BREW) research group , Microsoft Research, Cambridge, UK
- [March 2023] 🏆 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
- [Oct 2023] We will present our paper "MeetScript: Transcript-based Interactions Give People Additional Participation Channels in Group Video Meetings"in CSCW2023, Oct18 9:00 am
- [Oct 2023] We will present our paper "My Culture, My People, My Hometown: Chinese Ethnic Minorities Seeking Cultural Sustainability by Video Blogging" is conditionally accepted in Oct18 9:00 am!
- [July 2022] We'll present our paper "Scaling Mixed-Methods Formative Assessments(MixFA) in classrooms through a clustering pipeline" in AIED'22!
Experience
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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.
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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.
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Department of Information Management, Peking University
Undergraduate Student, Sep 2017 - July 2021
Supervior: Pengyi Zhang
Received Bachelor's Degree (with Honors) at PKU.