1 citations · 2 across the 12 of their papers we have counts for
14 papers
Cheap Expertise: Mapping and Challenging Industry Perspectives in the Expert Data Gig Economy
Robert Wolfe, Aayushi Dangol
Demand for expert-annotated data on the part of leading AI labs has created an expert gig economy with the potential to reshape white collar work and society's understanding of exp…
How Designers Envision Value-Oriented AI Design Concepts with Generative AI
Pitch Sinlapanuntakul, Aayushi Dangol, Xiaoyi Xue +1
As AI integrates into design practice, designers increasingly use generative AI tools to envision AI-enabled solutions, positioning AI as both design tool and design material. This…
Toys that listen, talk, and play: Understanding Children's Sensemaking and Interactions with AI Toys
Aayushi Dangol, Meghna Gupta, Daeun Yoo +4
Generative AI (genAI) is increasingly being integrated into children's everyday lives, not only through screens but also through so-called "screen-free" AI toys. These toys can sim…
Where Does AI Leave a Footprint? Children's Reasoning About AI's Environmental Costs
Aayushi Dangol, Robert Wolfe, Nisha Devasia +3
Two of the most socially consequential issues facing today's children are the rise of artificial intelligence (AI) and the rapid changes to the earth's climate. Both issues are com…
Sustainable Care: Designing Technologies That Support Children's Long-Term Engagement with Social Issues
JaeWon Kim, Aayushi Dangol, Rotem Landesman +2
Children today encounter social issues -- climate change, conflict, inequality -- through digital technologies, and the design of that encounter shapes whether young people move to…
Relief or displacement? How teachers are negotiating generative AI's role in their professional practice
Aayushi Dangol, Smriti Kotiyal, Robert Wolfe +8
As generative AI (genAI) rapidly enters classrooms, accompanied by district-level policy rollouts and industry-led teacher trainings, it is important to rethink the canonical ``ado…
Challenges and Opportunities for Participatory Design of Conversational Agents for Young People's Wellbeing
Natalia Kucirkova, Alexis Hiniker, Megumi Ishikawa +3
This paper outlines the challenges and opportunities of research on conversational agents with children and young people across four countries, exploring the ways AI technologies c…
Toward Needs-Conscious Design: Co-Designing a Human-Centered Framework for AI-Mediated Communication
Robert Wolfe, Aayushi Dangol, JaeWon Kim +1
We introduce Needs-Conscious Design, a human-centered framework for AI-mediated communication that builds on the principles of Nonviolent Communication (NVC). We conducted an inter…
Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective
Sarah Tran, Hongfan Lu, Isaac Slaughter +9
LLM-driven chatbots like ChatGPT have created large volumes of conversational data, but little is known about how user privacy expectations are evolving with this technology. We co…
"If anybody finds out you are in BIG TROUBLE": Understanding Children's Hopes, Fears, and Evaluations of Generative AI
Aayushi Dangol, Robert Wolfe, Daeun Yoo +3
As generative artificial intelligence (genAI) increasingly mediates how children learn, communicate, and engage with digital content, understanding children's hopes and fears about…
"AI just keeps guessing": Using ARC Puzzles to Help Children Identify Reasoning Errors in Generative AI
Aayushi Dangol, Runhua Zhao, Robert Wolfe +3
The integration of generative Artificial Intelligence (genAI) into everyday life raises questions about the competencies required to critically engage with these technologies. Unli…
Children's Mental Models of AI Reasoning: Implications for AI Literacy Education
Aayushi Dangol, Robert Wolfe, Runhua Zhao +4
As artificial intelligence (AI) advances in reasoning capabilities, most recently with the emergence of Large Reasoning Models (LRMs), understanding how children conceptualize AI's…
Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI
Robert Wolfe, Aayushi Dangol, Alexis Hiniker +1
Multimodal AI models capable of associating images and text hold promise for numerous domains, ranging from automated image captioning to accessibility applications for blind and l…
Representation Bias of Adolescents in AI: A Bilingual, Bicultural Study
Robert Wolfe, Aayushi Dangol, Bill Howe +1
Popular and news media often portray teenagers with sensationalism, as both a risk to society and at risk from society. As AI begins to absorb some of the epistemic functions of tr…