Qing Xiao

schoolCarnegie Mellon Universitybar_chart#720 Global Rank

Total Papers

HCI Rank

#720

Research Areas

Years Active

Recent Publications

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

Many current robot designs prioritize efficiency and one-size-fits-all solutions, oftentimes overlooking personalization, adaptability, and sustainability. To explore alternatives, we conducted two co-design workshops with 23 participants, who engaged with a modular robot co-design framework. Using components we provi…

CHI '262nd AuthorHuman-LLM Collaboration +3

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

Generative artificial intelligence (GenAI) is rapidly entering K-12 classrooms worldwide, initiating urgent debates about its potential to either reduce or exacerbate educational inequalities. Drawing on interviews with 30 K-12 teachers across the United States, South Africa, and Taiwan, this study examines how teache…

CHI '261st AuthorGenerative AI (Text, Image, Music, Video) +3

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

Generative AI (GenAI) is reshaping work, but adoption remains largely individual and experimental rather than coordinated into collaborative work. Whether GenAI can move from individual use to collaborative work is a critical question for future organizations. Journalism offers a compelling site to examine this shift:…

CHI '262nd AuthorHuman-LLM Collaboration +3

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

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 work communications and decision patterns to perform managerial tasks on their behalf. To investigate this emerging phenomenon, we conducted six…

CHI '262nd AuthorHonorable MentionDark Patterns Recognition +2

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

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 manipulative or deceptive behaviors enacted in dialogue. Drawing on prior work and AI incident reports, we outline a diverse set of categorie…

CC '254th AuthorHuman-Robot Collaboration (HRC) +2

Sustainable Robot Future: A Speculative Design about Humanity, Robots, and Ecology

Robotics has emerged as a critical field of technological innovation. However, current design paradigms, rooted in industrial-era models, often prioritize centralized control, planned obsolescence, and rigid, one-size-fits-all solutions, undermining adaptability, sustainability, and personal autonomy. To address these…

CC '252nd AuthorDomestic Robots +1

3R (Robots, Rooms, Relationships): Speculative Homes, Sentient Machines, and the Future of Domesticity

The pictorial explores the role of domestic robots in shaping relational and emotional experiences in home environments. Through a participatory workshop featuring a speculative card game 3R (Robots, Rooms, Relationships), participants crafted future home scenarios by combining different robot types, household setting…

CHI '251st AuthorAlgorithmic Transparency & Auditability +2

Let's Influence Algorithms Together: How Millions of Fans Build Collective Understanding of Algorithms and Organize Coordinated Algorithmic Actions

Previous research pays attention to how users strategically understand and consciously interact with algorithms but mainly focuses on an individual level, making it difficult to explore how users within communities could develop a collective understanding of algorithms and organize collective algorithmic actions. Thro…

CHI '253rd AuthorAccessible Gaming +1

How Users Who are Blind or Low Vision Play Mobile Games: Perceptions, Challenges, and Strategies

As blind and low-vision (BLV) players engage more deeply with games, accessibility features have become essential. While some research has explored tools and strategies to enhance game accessibility, the specific experiences of these players with mobile games remain underexamined. This study addresses this gap by inve…

CHI '252nd AuthorExplainable AI (XAI) +2

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

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, discriminatory, and harmful outputs. Recently, users are taking the initiative to address these harms and re-align AI companions. We introduce…

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