Kexin Phyllis Ju

schoolUniversity of Michiganbar_chart#2445 Global Rank

Total Papers

HCI Rank

#2445

Research Areas

Years Active

Recent Publications

AI-Mediated Feedback Improves Student Revisions: A Randomized Trial with FeedbackWriter in a Large Undergraduate Course

Despite growing interest in using LLMs to generate feedback on students’ writing, little is known about how students respond to AI-mediated versus human-provided feedback. We address this gap through a randomized controlled trial in a large introductory economics course (N=354), where we introduce and deploy FeedbackW…

CHI '262nd AuthorVoice Accessibility +4

RAVEN: Realtime Accessibility in Virtual ENvironments for Blind and Low-Vision People

As virtual 3D environments become more prevalent, equitable access is essential for blind and low-vision (BLV) users, who face challenges with spatial awareness, navigation, and interaction. Prior work has explored supplementing visual information with auditory or haptic modalities, but these methods are static and of…

CHI '262nd AuthorHuman-LLM Collaboration +3

EvaluAId: Human-AI Collaborative Evaluation of Open-Ended Student Essays

Open-ended writing assignments are central to higher education, yet heterogeneous submissions and scale make evaluation difficult. Automated writing evaluation (AWE) promises speed but often trades away transparency and sidelines human judgment. This paper repositions AI as an on-demand collaborator that can provide s…

CSCW '253rd AuthorHonorable MentionAI & Writing

More AI Assistance Reduces Cognitive Engagement: Examining the AI Assistance Dilemma in AI-Supported Note-Taking

As AI tools become increasingly integrated into cognitively demanding tasks, like note-taking, questions remain about whether they enhance or compromise cognitive engagement. This paper investigates the "AI Assistance Dilemma" in note-taking, examining how varying levels of AI support impact user engagement and compre…

UIST '252nd AuthorGenerative AI (Text, Image, Music, Video) +3

Synthia: Visually Interpreting and Synthesizing Feedback for Writing Revision

While recent advances in HCI and generative AI have improved authors' access to feedback on their work, the abundance of critiques can overwhelm writers and obscure actionable insights. We introduce Synthia, a system that visually scaffolds feedback-based writing revision with LLM-powered synthesis. Synthia helps auth…

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