Yan Chen

schoolUniversity of Michiganbar_chart#303 Global Rank

Total Papers

HCI Rank

#303

Research Areas

Years Active

Recent Publications

Human-Human-AI Triadic Programming: Uncovering the Role of AI Agent and the Value of Human Partner in Collaborative Learning

As AI assistance becomes embedded in programming practice, researchers have increasingly examined how these systems help learners generate code and work more efficiently. However, these studies often position AI as a replacement for human collaboration and overlook the social and learning-oriented aspects that emerge…

CHI '265th+ AuthorInteractive Data Visualization +2

CodeStream: Augmenting Timelines with Code Annotation for Navigating Large Coding Histories

Code edit histories can offer instructors valuable insight into students’ problem-solving processes, revealing unproductive behaviors that final code alone cannot capture. For example, a correct solution may contain large copy-and-pasted segments (suggesting the code originated elsewhere) or unguided trial-and-error (…

CHI '263rd AuthorHonorable MentionHuman-LLM Collaboration +3

CHOIR: A Chatbot-mediated Organizational Memory Leveraging Communication in University Research Labs

University research labs often rely on chat-based platforms for communication and project management, where valuable knowledge surfaces but is easily lost in message streams. Documentation can preserve knowledge, but it requires ongoing maintenance and is challenging to navigate. Drawing on formative interviews that r…

CSCW '253rd AuthorEnhancing Older Adults' Learning and Well-Being

WePilot: Integrating Younger Family Members and Chatbot to Support Older Adults Learning Smartphone Usage

Older adults (OAs) usually face various challenges when using smartphones due to their limited knowledge and the declines in memory and information processing capabilities. Many studies in HCI and CSCW communities have focused on supporting OAs to independently use smartphones. However, compared to independent explora…

CHI '25CorrespondingHuman-LLM Collaboration +2

Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support

AI programming tools enable powerful code generation, and recent prototypes attempt to reduce user effort with proactive AI agents, but their impact on programming workflows remains unexplored. We introduce and evaluate Codellaborator, a design probe LLM agent that initiates programming assistance based on editor acti…

UBICOMP '24CorrespondingBiosensors & Physiological Monitoring +1

RF-GymCare: Introducing Respiratory Prior for RF Sensing in Gym Environments

Wang 等人提出 RF-GymCare 方法，在健身房环境中利用射频感知技术结合呼吸先验，实现无接触呼吸监测。

UBICOMP '24CorrespondingUncertainty Visualization +1

RLoc: Towards Robust Indoor Localization by Quantifying Uncertainty

Zhang 等人提出 RLoc 室内定位系统，通过量化定位过程中的不确定性来提高定位精度，实现更鲁棒的室内导航。

UIST '24CorrespondingHuman-LLM Collaboration +1

VizGroup: An AI-assisted Event-driven System for Collaborative Programming Learning Analytics

Programming instructors often conduct collaborative learning activities, like Peer Instruction, to foster a deeper understanding in students and enhance their engagement with learning. These activities, however, may not always yield productive outcomes due to the diversity of student mental models and their ineffectiv…

UIST '235th+ AuthorHuman-LLM Collaboration +1

DiLogics: Creating Web Automation Programs with Diverse Logics

Knowledge workers frequently encounter repetitive web data entry tasks, like updating records or placing orders. Web automation increases productivity, but translating tasks to web actions accurately and extending to new specifications is challenging. Existing tools can automate tasks that perform the same logical tra…

CHI '232nd AuthorHonorable MentionProgramming Education & Computational Thinking +1

VizProg: Identifying Misunderstandings by Visualizing Students' Coding Progress

Programming instructors often conduct in-class exercises to help them identify students that are falling behind and surface students' misconceptions. However, as we found in interviews with programming instructors, monitoring students' progress during exercises is difficult, particularly for large classes. We present…

View all 18 papers →

Quick Actions

Share this page

ios_share

X in mail

https://hci.top/en/authors/4324?source=all