activity
20232026
most citedCoPrompt: Supporting Prompt Sharing and Referring in Collaborative Natural Language Programming

26 citations · 41 across the 17 of their papers we have counts for

collaborators

18 papers

cs.CL2026

You Really Didn't Get That? Benchmarking Social Pragmatic Inference for Indirect and Playful Chinese Online Comments

Shiwei Hong, Junjie Ma, Emma Jiren Wang +5

Chinese online comments often convey social meaning through indirect and playful language that is hard to interpret without context. Existing evaluations largely organize items aro…

cs.HC2026

Balancing Safety and Autonomy: Accessibility-Oriented Interventions in Generative AI for Cognitive Impairment

Yibo Meng, Jingruo Chen, Lyumanshan Ye +2

Generative AI systems are increasingly used by older adults with cognitive impairment for everyday tasks such as information seeking, health management, and communication. While th…

cs.HC2026

Mixed-Initiative Context: Structuring and Managing Context for Human-AI Collaboration

Haichang Li, Qinshi Zhang, Piaohong Wang +1

In the human-AI collaboration area, the context formed naturally through multi-turn interactions is typically flattened into a chronological sequence and treated as a fixed whole i…

cs.HC2026★ 1 cited

InterFlow: Designing Unobtrusive AI to Empower Interviewers in Semi-Structured Interviews

Yi Wen, Yu Zhang, Sriram Suresh +3

Semi-structured interviews are a common method in qualitative research. However, conducting high-quality interviews is cognitively demanding and requires strong interviewing skills…

cs.HC2026

The Configuration of Space: Probing the Way Social Interaction and Perception are Affected by Task-Specific Spatial Representations in Online Video Communication

Yihuan Chen, Kexue Fu, Qianyi Chen +2

Humans live and act in 3D space, but often work and communicate on 2D surfaces. The prevalence of online communication on 2D screens raises the issue of whether human spatial confi…

cs.AI2026

ProAct: Agentic Lookahead in Interactive Environments

Yangbin Yu, Mingyu Yang, Junyou Li +9

Existing Large Language Model (LLM) agents struggle in interactive environments requiring long-horizon planning, primarily due to compounding errors when simulating future states.…

cs.CL2025

O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents

Piaohong Wang, Motong Tian, Jiaxian Li +8

Recent advancements in LLM-powered agents have demonstrated significant potential in generating human-like responses; however, they continue to face challenges in maintaining long-…

cs.HC2025

Towards Human-Centered RegTech: Unpacking Professionals' Strategies and Needs for Using LLMs Safely

Siying Hu, Yaxing Yao, Zhicong Lu

Large Language Models are profoundly changing work patterns in high-risk professional domains, yet their application also introduces severe and underexplored compliance risks. To i…

cs.HC2025

SpeechCap: Leveraging Playful Impact Captions to Facilitate Interpersonal Communication in Social Virtual Reality

Yu Zhang, Yi Wen, Siying Hu +1

Social Virtual Reality (VR) emerges as a promising platform bringing immersive, interactive, and engaging mechanisms for collaborative activities in virtual spaces. However, interp…

cs.HC2024

Exploring the Danmaku Content Moderation on Video-Sharing Platforms: Existing Limitations, Challenges, and Design Opportunities

Siying Hu, Zhicong Lu

Video-sharing platforms (VSPs) have been increasingly embracing social features such as likes, comments, and Danmaku to boost user engagement. However, viewers may post inappropria…

cs.HC2024

"I Always Felt that SomethingWasWrong.": Understanding Compliance Risks and Mitigation Strategies when Highly-Skilled Compliance Knowledge Workers Use Large Language Models

Siying Hu, Piaohong Wang, Ka I Chan +2

The rapid advancement of Large Language Models (LLMs) has transformed knowledge-intensive has led to its widespread usage by knowledge workers to enhance their productivity. As the…

cs.HC2024

Sportoonizer: Augmenting Sports Highlights' Narration and Visual Impact via Automatic Manga B-Roll Generation

Siying Hu, Xiangzhe Yuan, Jiajun Wang +5

Sports highlights are becoming increasingly popular on video-sharing platforms. Yet, crafting sport highlight videos is challenging, which requires producing engaging narratives fr…

cs.HC2024★ 1 cited

KoroT-3E: A Personalized Musical Mnemonics Tool for Enhancing Memory Retention of Complex Computer Science Concepts

Xiangzhe Yuan, Jiajun Wang, Siying Hu +2

As the demand for computer science (CS) skills grows, mastering foundational concepts is crucial yet challenging for novice learners. To address this challenge, we present KoroT-3E…

cs.HC2024★ 7 cited

AI vs. Human Paintings? Deciphering Public Interactions and Perceptions towards AI-Generated Paintings on TikTok

Jiajun Wang, Xiangzhe Yuan, Siying Hu +1

With the development of generative AI technology, a vast array of AI-generated paintings (AIGP) have gone viral on social media like TikTok. However, some negative news about AIGP…

cs.HC2024★ 6 cited

DanModCap: Designing a Danmaku Moderation Tool for Video-Sharing Platforms that Leverages Impact Captions with Large Language Models

Siying Hu, Huanchen Wang, Yu Zhang +2

Online video platforms have gained increased popularity due to their ability to support information consumption and sharing and the diverse social interactions they afford. Danmaku…

cs.HC2024

The Odyssey Journey: Top-Tier Medical Resource Seeking for Specialized Disorder in China

Ka I Chan, Siying Hu, Yuntao Wang +3

It is pivotal for patients to receive accurate health information, diagnoses, and timely treatments. However, in China, the significant imbalanced doctor-to-patient ratio intensifi…

cs.HC2023

A Survey on Watching Social Issue Videos among YouTube and TikTok Users

Shuo Niu, Dilasha Shrestha, Abhisan Ghimire +1

The openness and influence of video-sharing platforms (VSPs) such as YouTube and TikTok attracted creators to share videos on various social issues. Although social issue videos (S…

cs.HC2023★ 26 cited

CoPrompt: Supporting Prompt Sharing and Referring in Collaborative Natural Language Programming

Li Feng, Ryan Yen, Yuzhe You +3

Natural language (NL) programming has become more approachable due to the powerful code-generation capability of large language models (LLMs). This shift to using NL to program enh…