activity
20232026
most citedUnderstanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review

6 citations · 12 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2026

DISARM-ing the Hidden Puppetmaster: An Interface for Exposing Manipulative Tactics in Large Language Models

Kynnedy Simone Smith, Kantwon Rogers, Priyal Shrivastava +3

Large language models (LLMs) can covertly steer users' beliefs through emotionally manipulative tactics, yet little is known about how interfaces can protect users as such influenc…

cs.CL2026

The Hidden Puppet Master: Predicting Human Belief Change in Manipulative LLM Dialogues

Jocelyn Shen, Amina Luvsanchultem, Jessica Kim +6

As users increasingly turn to LLMs for practical and personal advice, they become vulnerable to subtle steering toward hidden incentives misaligned with their own interests. While…

cs.HC2025★ 2 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★ 6 cited

Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review

Rock Yuren Pang, Hope Schroeder, Kynnedy Simone Smith +4

Large language models (LLMs) have been positioned to revolutionize HCI, by reshaping not only the interfaces, design patterns, and sociotechnical systems that we study, but also th…

cs.HC2023★ 4 cited

Tweetorial Hooks: Generative AI Tools to Motivate Science on Social Media

Tao Long, Dorothy Zhang, Grace Li +6

Communicating science and technology is essential for the public to understand and engage in a rapidly changing world. Tweetorials are an emerging phenomenon where experts explain…