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20242026
most cited"Confrontation or Acceptance": Understanding Novice Visual Artists' Perception towards AI-assisted Art Creation

2 citations · 2 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.HC2025

SoK: Synthesizing Smart Home Privacy Protection Mechanisms Across Academic Proposals and Commercial Documentations

Shuning Zhang, Yijing Liu, Yuyu Liu +5

Pervasive data collection by Smart Home Devices (SHDs) demands robust Privacy Protection Mechanisms (PPMs). The effectiveness of many PPMs, particularly user-facing controls, depen…

cs.HC2025

"Power of Words": Stealthy and Adaptive Private Information Elicitation via LLM Communication Strategies

Shuning Zhang, Jiaqi Bai, Linzhi Wang +3

While communication strategies of Large Language Models (LLMs) are crucial for human-LLM interactions, they can also be weaponized to elicit private information, yet such stealthy…

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.HC2025

The Real Her? Exploring Whether Young Adults Accept Human-AI Love

Shuning Zhang, Shixuan Li

This paper explores the acceptance of human-AI love among young adults, particularly focusing on Chinese women in romantic or intimate relationships with AI companions. Through qua…

cs.HC2025

Actual Achieved Gain and Optimal Perceived Gain: Modeling Human Take-over Decisions Towards Automated Vehicles' Suggestions

Shuning Zhang, Xin Yi, Shixuan Li +7

Driver decision quality in take-overs is critical for effective human-Autonomous Driving System (ADS) collaboration. However, current research lacks detailed analysis of its variat…