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20242026
most cited"If anybody finds out you are in BIG TROUBLE": Understanding Children's Hopes, Fears, and Evaluations of Generative AI

1 citations · 2 across the 12 of their papers we have counts for

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cs.CY2026★ 1 cited

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…

cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

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…

cs.HC2026

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…