activity
20242026
most citedMIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videos

9 citations · 17 across the 13 of their papers we have counts for

collaborators

13 papers

cs.HC2026

MultEval: Supporting Collaborative Alignment for LLM-as-a-Judge Evaluation Criteria

Charles Chiang, Simret Gebreegziabher, Annalisa Szymanski +6

LLM-as-a-judge approaches have emerged as a scalable solution for evaluating model behaviors, yet they rely on evaluation criteria often created by a single individual, embedding t…

cs.HC2025

From Verification Burden to Trusted Collaboration: Design Goals for LLM-Assisted Literature Reviews

Brenda Nogueira, Werner Geyer, Andrew Anderson +4

Large Language Models (LLMs) are increasingly embedded in academic writing practices. Although numerous studies have explored how researchers employ these tools for scientific writ…

cs.HC2025

ALLOY: Generating Reusable Agent Workflows from User Demonstration

Jiawen Li, Zheng Ning, Yuan Tian +1

Large language models (LLMs) enable end-users to delegate complex tasks to autonomous agents through natural language. However, prompt-based interaction faces critical limitations:…

cs.HC2025★ 1 cited

AROMA: Mixed-Initiative AI Assistance for Non-Visual Cooking by Grounding Multi-modal Information Between Reality and Videos

Zheng Ning, Leyang Li, Daniel Killough +6

Videos offer rich audiovisual information that can support people in performing activities of daily living (ADLs), but they remain largely inaccessible to blind or low-vision (BLV)…

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

SQLucid: Grounding Natural Language Database Queries with Interactive Explanations

Yuan Tian, Jonathan K. Kummerfeld, Toby Jia-Jun Li +1

Though recent advances in machine learning have led to significant improvements in natural language interfaces for databases, the accuracy and reliability of these systems remain l…

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.SE2024★ 4 cited

A Study on Developer Behaviors for Validating and Repairing LLM-Generated Code Using Eye Tracking and IDE Actions

Ningzhi Tang, Meng Chen, Zheng Ning +4

The increasing use of large language model (LLM)-powered code generation tools, such as GitHub Copilot, is transforming software engineering practices. This paper investigates how…

cs.HC2024★ 9 cited

MIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videos

Zheng Ning, Zheng Zhang, Jerrick Ban +4

Spatial audio offers more immersive video consumption experiences to viewers; however, creating and editing spatial audio often expensive and requires specialized equipment and ski…

cs.HC2024★ 2 cited

"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practices

Shivani Kapania, Ruiyi Wang, Toby Jia-Jun Li +2

Large language models are increasingly applied in real-world scenarios, including research and education. These models, however, come with well-known ethical issues, which may mani…

cs.HC2024

SPICA: Interactive Video Content Exploration through Augmented Audio Descriptions for Blind or Low-Vision Viewers

Zheng Ning, Brianna L. Wimer, Kaiwen Jiang +5

Blind or Low-Vision (BLV) users often rely on audio descriptions (AD) to access video content. However, conventional static ADs can leave out detailed information in videos, impose…

cs.HC2024

Insights into Natural Language Database Query Errors: From Attention Misalignment to User Handling Strategies

Zheng Ning, Yuan Tian, Zheng Zhang +2

Querying structured databases with natural language (NL2SQL) has remained a difficult problem for years. Recently, the advancement of machine learning (ML), natural language proces…