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Author: 14681

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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…

Lingyun Chen et al.Indiana University

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…

Ruiwei Xiao et al.

Human-Computer Interaction Institute

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:…

Qing Xiao et al.Carnegie Mellon University

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…

Qing Hu et al.Carnegie Mellon University

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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…

Yike Shi et al.Carnegie Mellon University

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…

Lingyun Chen et al.Indiana University

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…

Lingyun Chen et al.Indiana University

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…

Qing Xiao et al.Carnegie Mellon University

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…

Zihe Ran et al.Communication University of China

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…

Xianzhe Fan et al.Tsinghua University

"It Might be Technically Impressive, But It’s Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry

Recently, an increasing number of news organizations have integrated artificial intelligence (AI) into their workflows, leading to a further influx of AI technologists and data workers into the news industry. This has initiated cross-functional collaborations between these professionals and journalists. Although prior…

Qing Xiao et al.Carnegie Mellon University

Paper Title	Authors	Research Topics	Paper Database	Year
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…	LC Lingyun Chen et al.Indiana University
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…	RX Ruiwei Xiao et al.Human-Computer Interaction Institute
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:…	QX Qing Xiao et al.Carnegie Mellon University
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…	QH Qing Hu et al.Carnegie Mellon University
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
emoji_events 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…	YS Yike Shi et al.Carnegie Mellon University
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…	LC Lingyun Chen et al.Indiana University
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…	LC Lingyun Chen et al.Indiana University
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…	QX Qing Xiao et al.Carnegie Mellon University
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…	ZR Zihe Ran et al.Communication University of China
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…	XF Xianzhe Fan et al.Tsinghua University
"It Might be Technically Impressive, But It’s Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry Recently, an increasing number of news organizations have integrated artificial intelligence (AI) into their workflows, leading to a further influx of AI technologists and data workers into the news industry. This has initiated cross-functional collaborations between these professionals and journalists. Although prior…	QX Qing Xiao et al.Carnegie Mellon University