5 citations · 12 across the 9 of their papers we have counts for
9 papers
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…
AppSelectBench: Application-Level Tool Selection Benchmark
Tianyi Chen, Michael Solodko, Sen Wang +14
Computer Using Agents (CUAs) are increasingly equipped with external tools, enabling them to perform complex and realistic tasks. For CUAs to operate effectively, application selec…
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…
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,…
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…
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…
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…
MIND: Towards Immersive Psychological Healing with Multi-agent Inner Dialogue
Yujia Chen, Changsong Li, Yiming Wang +6
Mental health issues are worsening in today's competitive society, such as depression and anxiety. Traditional healings like counseling and chatbots fail to engage effectively, the…
RoomDiffusion: A Specialized Diffusion Model in the Interior Design Industry
Zhaowei Wang, Ying Hao, Hao Wei +5
Recent advancements in text-to-image diffusion models have significantly transformed visual content generation, yet their application in specialized fields such as interior design…