// HCI

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

LLM Ads

Embedding personalized advertisements within chatbot responses. We developed a system that generates targeted ads in LLM chatbot conversations and conducted a user study to assess how ad injection impacts trust and response quality. Users struggle to detect chatbot ads, and undisclosed ads are rated more favorably, raising ethical concerns. Contribution: lead author.

32nd USENIX Security Symposium (2023)

Eye-Shield

A novel defense system against shoulder surfing attacks on mobile devices. We designed Eye-Shield, a real-time software that makes on-screen content readable to the user but appear blurry to onlookers. Contribution: lead author.

17th ACM/IEEE International Conference on Human-Robot Interaction (2022)

Confidant

Exploring privacy management in conversational social robots. We developed CONFIDANT, a privacy controller that leverages various NLP models to analyze conversational metadata. Found that robots equipped with privacy controls are perceived as more trustworthy, privacy-aware, and socially aware. Contribution: lead author.