most citedReflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis through Design for Deliberation

1 citations · 2 across the 5 of their papers we have counts for

collaborators

7 papers

cs.HC20261 cited

Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis through Design for Deliberation

Runlong Ye, Oliver Huang, Patrick Yung Kang Lee +3

Reflexive Thematic Analysis (RTA) is a critical method for generating deep interpretive insights. Yet its core tenets, including researcher reflexivity, tangible analytical evoluti…

cs.HC2026

TreeWriter: AI-Assisted Hierarchical Planning and Writing for Long-Form Documents

Zijian Zhang, Fangshi Du, Xingjian Liu +5

Long documents pose many challenges to current intelligent writing systems. These include maintaining consistency across sections, sustaining efficient planning and writing as docu…

cs.HC2025

Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning

Xinying Hou, Ruiwei Xiao, Runlong Ye +2

The broad adoption of Generative AI (GenAI) is impacting Computer Science education, and recent studies found its benefits and potential concerns when students use it for programmi…

cs.HC2025

TreeReader: A Hierarchical Academic Paper Reader Powered by Language Models

Zijian Zhang, Pan Chen, Fangshi Du +4

Efficiently navigating and understanding academic papers is crucial for scientific progress. Traditional linear formats like PDF and HTML can cause cognitive overload and obscure a…

cs.HC20251 cited

Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education

Ruiwei Xiao, Xinying Hou, Runlong Ye +4

With the proliferation of large language model (LLM) applications since 2022, their use in education has sparked both excitement and concern. Recent studies consistently highlight…

cs.HC2025

Beyond Autocomplete: Designing CopilotLens Towards Transparent and Explainable AI Coding Agents

Runlong Ye, Zeling Zhang, Boushra Almazroua +1

AI-powered code assistants are widely used to generate code completions, significantly boosting developer productivity. However, these tools typically present suggestions without e…