Efe Bozkir

Echoes of Privacy: Exploring User Privacy Decision-Making Processes towards Large Language Model-based Agents in Immersive Realities

User privacy concerns and preferences have been researched extensively in the context of various technologies, such as smart speakers, IoT devices, and augmented reality glasses, to facilitate better privacy decision-making and human-centered solutions. With the emergence of generative artificial intelligence (AI), large language models (LLMs) have started being integrated into our daily routines, where models are tuned with vast amounts of data, including sensitive information. The possibility of embedding these models in immersive settings brings a plethora of questions from privacy and usability point of view. In this project, through several user studies, including crowdsourcing ones, we will explore privacy concerns and preferences towards LLM-powered and speech-based chat agents for immersive settings and inference likelihood of alarming user attributes. The findings will help understand the privacy implications of such settings, design informed consent procedures that support users in immersive spaces that include LLMs, and facilitate privacy-aware technical solutions.