most citedExploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health

28 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Position: Human-Robot Interaction in Embodied Intelligence Demands a Shift From Static Privacy Controls to Dynamic Learning

Shuning Zhang, Hong Jia, Simin Li +4

The reasoning capabilities of embodied agents introduce a critical, under-explored inferential privacy challenge, where the risk of an agent generate sensitive conclusions from amb…

cs.HC2025

Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory

Shuning Zhang, Rongjun Ma, Ying Ma +4

Large Language Models (LLMs) are increasingly integrating memory functionalities to provide personalized and context-aware interactions. However, user understanding, practices and…

cs.HC2025

The Manipulative Power of Voice Characteristics: Investigating Deceptive Patterns in Mandarin Chinese Female Synthetic Speech

Shuning Zhang, Han Chen, Yabo Wang +7

Pervasive voice interaction enables deceptive patterns through subtle voice characteristics, yet empirical investigation into this manipulation lags behind, especially within major…

cs.HC20251 cited

Characterizing Unintended Consequences in Human-GUI Agent Collaboration for Web Browsing

Shuning Zhang, Jingruo Chen, Zhiqi Gao +3

The proliferation of Large Language Model (LLM)-based Graphical User Interface (GUI) agents in web browsing scenarios present complex unintended consequences (UCs). This paper char…

cs.HC202428 cited

Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health

Yongquan Hu, Shuning Zhang, Ting Dang +4

Integrating physiological signals such as electroencephalogram (EEG), with other data such as interview audio, may offer valuable multimodal insights into psychological states or n…