activity
20242026
most citedThe Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models

5 citations · 16 across the 12 of their papers we have counts for

collaborators

15 papers

cs.HC2026

The Addictive Intimacy of AI: Understanding User Disengagement from AI Companions and Why Some Relationships with AI Become Difficult to Leave

Qing Xiao, Ziyue Feng, Ziyu Deng +2

AI chatbots are increasingly used as sources of emotional support, on dedicated companion apps and general-purpose assistants alike, yet little is known about what happens when use…

cs.HC2026

Exploring K-12 Teachers' Perceptions of Students' Relationships with AI Companions: Boundaries, Intervention Strategies, and Design Implications

Qing Xiao, Wenhan Xie, Ziyu Deng +7

K-12 students increasingly form relationships with AI companions. Schools face growing expectations to teach AI literacy, yet existing frameworks treat AI as a tool rather than a r…

cs.HC2026

Design Principles for Human-Agent Interaction

Haiyi Zhu, Canwen Wang, Qing Xiao +1

AI agents are rapidly evolving into autonomous systems capable of sustained interaction, tool use, and long-term collaboration. Yet their real-world adoption remains limited, sugge…

cs.HC2025

"It Felt Real" Victim Perspectives on Platform Design and Longer-Running Scams

Jingjia Xiao, Qing Xiao, Hong Shen

Longer-running scams, such as romance fraud and "pig-butchering" scams, exploit not only victims' emotions but also the design of digital platforms. Scammers commonly leverage feat…

cs.HC2025★ 1 cited

Beyond the Personal Assistant: How Expectations for Enterprise AI in Teamwork Diverged as Generative AI Took Shape, 2023-2025

Qing Xiao, Xinlan Emily Hu, Mark E. Whiting +3

HCI often draws on users' articulated needs and expectations to explore design opportunities for emerging technologies. Yet, these accounts are shaped by how technologies take form…

cs.HC2025

Bridging Cultural Distance Between Models Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices

Ruiwei Xiao, Qing Xiao, Xinying Hou +4

Generative AI (GenAI) is rapidly entering K-12 classrooms, offering teachers new ways for teaching practices. Yet GenAI models are often trained on culturally uneven datasets, embe…

cs.HC2025★ 1 cited

When Your Boss Is an AI Bot: Exploring Opportunities and Risks of Manager Clone Agents in the Future Workplace

Qing Hu, Qing Xiao, Hancheng Cao +1

As Generative AI (GenAI) becomes increasingly embedded in the workplace, managers are beginning to create Manager Clone Agents -- AI-powered digital surrogates trained on their wor…

cs.HC2025

The Digital Landscape of God: Narrative, Visuals and Viewer Engagement of Religious Videos on YouTube

Rongyi Chen, Ziyan Xin, Qing Xiao +5

The digital transformation of religious practice has reshaped how billions of people engage with spiritual content, with video-sharing platforms becoming central to contemporary re…

cs.HC2025★ 1 cited

Can GenAI Move from Individual Use to Collaborative Work? Experiences, Challenges, and Opportunities of Coordinating GenAI into Collaborative Newswork

Qing Xiao, Qing Hu, Jingjia Xiao +2

Generative AI (GenAI) is reshaping work, but adoption remains largely individual and experimental rather than coordinated into collaborative work. Whether GenAI can move from indiv…

cs.HC2025★ 5 cited

The Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models

Yike Shi, Qing Xiao, Qing Hu +2

Large language models can influence users through conversation, creating new forms of dark patterns that differ from traditional UX dark patterns. We define LLM dark patterns as ma…

cs.HC2025★ 3 cited

Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' Perspectives

Ruiwei Xiao, Qing Xiao, Xinying Hou +4

Generative artificial intelligence (GenAI) is rapidly entering K-12 classrooms worldwide, initiating urgent debates about its potential to either reduce or exacerbate educational i…

cs.HC2025

Constructing Algorithmic Authority: How Multi-Channel Networks (MCNs) Govern Live-Streaming Labor in China

Qing Xiao, Rongyi Chen, Jingjia Xiao +6

This study examines the discursive construction of algorithms and its role in labor management in Chinese live-streaming industry by focusing on how intermediary organizations (Mul…

cs.HC2025★ 2 cited

Rethinking Theory of Mind Benchmarks for LLMs: Towards A User-Centered Perspective

Qiaosi Wang, Xuhui Zhou, Maarten Sap +2

The last couple of years have witnessed emerging research that appropriates Theory-of-Mind (ToM) tasks designed for humans to benchmark LLM's ToM capabilities as an indication of L…

cs.HC2024★ 1 cited

How Do Users Negotiate Harmful Value Conflicts with AI Companions? A Study with Minion, a Technology Probe for In-Situ Human-AI Conflict Response

Xianzhe Fan, Qing Xiao, Xuhui Zhou +4

AI companions increasingly sustain long-term, emotionally engaging relationships but can also make discriminatory remarks or exert control, leaving users to manage harmful conflict…

cs.HC2024★ 2 cited

User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions

Xianzhe Fan, Qing Xiao, Xuhui Zhou +4

Large language model-based AI companions are increasingly viewed by users as friends or romantic partners, leading to deep emotional bonds. However, they can generate biased, discr…