activity
20232026
most citedCollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models

10 citations · 12 across the 7 of their papers we have counts for

collaborators

7 papers

cs.HC2026

Lessons from Real-World Deployment of a Cognition-Preserving Writing Tool: Students Actively Engage with Critical Thinking and Planning Affordances

Yinuo Yang, Zheng Zhang, Ningzhi Tang +5

AI-supported writing tools show strong potential for scaffolding students' learning of argumentative writing. Prior work has demonstrated the benefits of AI-supported cognitive sca…

cs.HC2026

Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agents

Nikhil Sharma, Zheng Zhang, Daniel Lee +4

High-quality feedback is essential for effective human-AI interaction. It bridges knowledge gaps, corrects digressions, and shapes system behavior; both during interaction and thro…

cs.HC2025★ 1 cited

GLITTER: An AI-assisted Platform for Material-Grounded Asynchronous Discussion in Flipped Learning

Weirui Peng, Yinuo Yang, Zheng Zhang +1

Flipped classrooms promote active learning by having students engage with materials independently before class, allowing in-class time for collaborative problem-solving. During thi…

cs.HC2024

LADICA: A Large Shared Display Interface for Generative AI Cognitive Assistance in Co-Located Team Collaboration

Zheng Zhang, Weirui Peng, Xinyue Chen +2

Large shared displays, such as digital whiteboards, are useful for supporting co-located team collaborations by helping members perform cognitive tasks such as brainstorming, organ…

cs.LG2024

Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning

Simret Araya Gebreegziabher, Kuangshi Ai, Zheng Zhang +2

Active Learning (AL) allows models to learn interactively from user feedback. This paper introduces a counterfactual data augmentation approach to AL, particularly addressing the s…

cs.HC2023★ 1 cited

Impact of Human-AI Interaction on User Trust and Reliance in AI-Assisted Qualitative Coding

Jie Gao, Junming Cao, ShunYi Yeo +5

While AI shows promise for enhancing the efficiency of qualitative analysis, the unique human-AI interaction resulting from varied coding strategies makes it challenging to develop…

cs.HC2023★ 10 cited

CollabCoder: A Lower-barrier, Rigorous Workflow for Inductive Collaborative Qualitative Analysis with Large Language Models

Jie Gao, Yuchen Guo, Gionnieve Lim +4

Collaborative Qualitative Analysis (CQA) can enhance qualitative analysis rigor and depth by incorporating varied viewpoints. Nevertheless, ensuring a rigorous CQA procedure itself…