87 citations · 178 across the 16 of their papers we have counts for
8 papers · 1 filter
Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents
Zhiping Zhang, Yi Evie Zhang, Freda Shi +1
LLM agents require personal information for personalization in order to effectively act on users' behalf, but this raises privacy concerns that can discourage data sharing, limitin…
"I'm categorizing LLM as a productivity tool": Examining ethics of LLM use in HCI research practices
Shivani Kapania, Ruiyi Wang, Toby Jia-Jun Li +2
Large language models are increasingly applied in real-world scenarios, including research and education. These models, however, come with well-known ethical issues, which may mani…
Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels
Tianshi Li, Lorrie Faith Cranor, Yuvraj Agarwal +1
Apple and Google introduced their versions of privacy nutrition labels to the mobile app stores to better inform users of the apps' data practices. However, these labels are self-r…
Human-Centered Privacy Research in the Age of Large Language Models
Tianshi Li, Sauvik Das, Hao-Ping Lee +3
The emergence of large language models (LLMs), and their increased use in user-facing systems, has led to substantial privacy concerns. To date, research on these privacy concerns…
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents
Zhiping Zhang, Michelle Jia, Hao-Ping Lee +5
The widespread use of Large Language Model (LLM)-based conversational agents (CAs), especially in high-stakes domains, raises many privacy concerns. Building ethical LLM-based CAs…
Shaping the Emerging Norms of Using Large Language Models in Social Computing Research
Hong Shen, Tianshi Li, Toby Jia-Jun Li +2
The emergence of Large Language Models (LLMs) has brought both excitement and concerns to social computing research. On the one hand, LLMs offer unprecedented capabilities in analy…
ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models
Jackie Junrui Yang, Yingtian Shi, Yuhan Zhang +7
By combining voice and touch interactions, multimodal interfaces can surpass the efficiency of either modality alone. Traditional multimodal frameworks require laborious developer…
Decentralized is not risk-free: Understanding public perceptions of privacy-utility trade-offs in COVID-19 contact-tracing apps
Tianshi Li, Jackie, Yang +5
Contact-tracing apps have potential benefits in helping health authorities to act swiftly to halt the spread of COVID-19. However, their effectiveness is heavily dependent on their…