most citedUser-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions

2 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2025

SoMi-ToM: Evaluating Multi-Perspective Theory of Mind in Embodied Social Interactions

Xianzhe Fan, Xuhui Zhou, Chuanyang Jin +3

Humans continuously infer the states, goals, and behaviors of others by perceiving their surroundings in dynamic, real-world social interactions. However, most Theory of Mind (ToM)…

cs.HC2025

Constructing Algorithmic Authority: How Multi-Channel Networks (MCNs) Govern Live-Streaming Labor in China

Qing Xiao, Rongyi Chen, Jingjia Xiao +6

This study examines the discursive construction of algorithms and its role in labor management in Chinese live-streaming industry by focusing on how intermediary organizations (Mul…

cs.HC2025

How Users Who are Blind or Low Vision Play Mobile Games: Perceptions, Challenges, and Strategies

Zihe Ran, Xiyu Li, Qing Xiao +4

As blind and low-vision (BLV) players engage more deeply with games, accessibility features have become essential. While some research has explored tools and strategies to enhance…

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

"It Might be Technically Impressive, But It's Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry

Qing Xiao, Xianzhe Fan, Felix M. Simon +2

Recently, an increasing number of news organizations have integrated artificial intelligence (AI) into their workflows, leading to a further influx of AI technologists and data wor…

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…