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

5 citations · 12 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.HC2026

Positioning Modular Co-Design in Future HRI Design Research

Lingyun Chen, Qing Xiao, Zitao Zhang +2

Design-oriented HRI is increasingly interested in robots as long-term companions, yet many designs still assume a fixed form and a stable set of functions. We present an ongoing de…

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★ 1 cited

Robots that Evolve with Us: Modular Co-Design for Personalization, Adaptability, and Sustainability

Lingyun Chen, Qing Xiao, Zitao Zhang +2

Many current robot designs prioritize efficiency and one-size-fits-all solutions, oftentimes overlooking personalization, adaptability, and sustainability. To explore alternatives,…

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★ 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…