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20242026
most cited"I never would have thought to say this": Example-Based Exploration to Balance Scientists' Writing Preferences with Public Science Communication Strategies

2 citations · 3 across the 3 of their papers we have counts for

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cs.HC2026

What Influences Readers' and Writers' Perceived Necessity of AI Disclosure?

Jingchao Fang, Victoria Xiaohan Wen, Mina Lee

The growing capability of artificial intelligence (AI) leads to its increasing adoption in writing, spurring discussions around whether writers should disclose their AI use in writ…

cs.HC20261 cited

What Does AI Do for Cultural Interpretation? A Randomized Experiment on Close Reading Poems with Exposure to AI Interpretation

Jiayin Zhi, Hoyt Long, Richard Jean So +1

AI demonstrates unprecedented reasoning capabilities, but its increasing integration into human reasoning via automated reading and summarization has provoked debate about its use…

cs.HC20262 cited

"I never would have thought to say this": Example-Based Exploration to Balance Scientists' Writing Preferences with Public Science Communication Strategies

Grace Li, Yuanyang Teng, Juna Kawai-Yue +8

Public-facing science communication is important in garnering interest, engagement, and trust in science. Social media platforms provide scientists with opportunities to reach broa…

cs.HC2025

Understanding, Protecting, and Augmenting Human Cognition with Generative AI: A Synthesis of the CHI 2025 Tools for Thought Workshop

Lev Tankelevitch, Elena L. Glassman, Jessica He +7

Generative AI (GenAI) radically expands the scope and capability of automation for work, education, and everyday tasks, a transformation posing both risks and opportunities for hum…

cs.HC2025

What Shapes Writers' Decisions to Disclose AI Use?

Jingchao Fang, Mina Lee

Have you ever read a blog or social media post and suspected that it was written--at least in part--by artificial intelligence (AI)? While transparently acknowledging contributors…

cs.HC2025

Design Opportunities for Explainable AI Paraphrasing Tools: A User Study with Non-native English Speakers

Yewon Kim, Thanh-Long V. Le, Donghwi Kim +2

We investigate how non-native English speakers (NNESs) interact with diverse information aids to assess and select AI-generated paraphrases. We develop ParaScope, an AI paraphrasin…