Rongjun is a PhD student in Human-Computer Interaction, studying how people engage with everyday technologies. Her research aims to understand how individuals adopt, adapt, and integrate technology into their daily lives. This perspective on technology appropriation has guided her work across a range of contexts, including information overload during web browsing, switching between communication channels, and gaming within households.
More recently, She has extended this lens to examine how people engage with emerging AI technologies. She explores how tools like ChatGPT are being incorporated into everyday routines, such as online information seeking, and how customizable AI systems like custom GPTs influence users’ perceptions of privacy.
Publications
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2025. Channel Switching and Adaptive Behaviors in Multichannel Communication. In Proceedings of the ACM on Human-Computer Interaction (CSCW220). , 1 - 33.
10.1145/3757401 -
2025. Fluid Roles for Close-Knit Gaming: Households Playing Digital Games. In Proceedings of the ACM on Human-Computer Interaction (9). , 695-729.
10.1145/3748619 -
2025. Privacy perceptions of custom gpts by users and creators. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (2025). , 1-18.
10.1145/3706598.3713540 -
2025. Understanding Users’ Privacy Perceptions Towards LLM’s RAG-based Memory. In HAIPS ’25: Proceedings of the 2025 Workshop on Human-Centered AI Privacy and Security (2025). , 10 - 19.
10.1145/3733816.3760750 -
2023. When Browsing Gets Cluttered: Exploring and Modeling Interactions of Browsing Clutter, Browsing Habits, and Coping. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (2023). , 1-29.
10.1145/3544548.3580690
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