2 citations · 6 across the 8 of their papers we have counts for
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cs.HC2024★ 1 cited
How Do Users Negotiate Harmful Value Conflicts with AI Companions? A Study with Minion, a Technology Probe for In-Situ Human-AI Conflict Response
Xianzhe Fan, Qing Xiao, Xuhui Zhou +4
AI companions increasingly sustain long-term, emotionally engaging relationships but can also make discriminatory remarks or exert control, leaving users to manage harmful conflict…
cs.HC2024
Let's Influence Algorithms Together: How Millions of Fans Build Collective Understanding of Algorithms and Organize Coordinated Algorithmic Actions
Qing Xiao, Yuhang Zheng, Xianzhe Fan +2
Previous research pays attention to how users strategically understand and consciously interact with algorithms but mainly focuses on an individual level, making it difficult to ex…
cs.HC2024★ 2 cited
User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions
Xianzhe Fan, Qing Xiao, Xuhui Zhou +4
Large language model-based AI companions are increasingly viewed by users as friends or romantic partners, leading to deep emotional bonds. However, they can generate biased, discr…