activity
20242026
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

8 papers

cs.HC2026

Misgendering as Breakdown in Human-Machine Communication: How AI Companion Chatbot Users Experience and Repair Misgendering

Julia Liu, Qing Xiao, Leona Yinglang Pang +3

In recent years, large language model-based AI companion and role play chatbots have grown increasingly popular. People turn to these chatbots for emotional support and to engage i…

cs.HC2026

The Addictive Intimacy of AI: Understanding User Disengagement from AI Companions and Why Some Relationships with AI Become Difficult to Leave

Qing Xiao, Ziyue Feng, Ziyu Deng +2

AI chatbots are increasingly used as sources of emotional support, on dedicated companion apps and general-purpose assistants alike, yet little is known about what happens when use…

cs.HC2026

"Law at Your Fingertips": Understanding Legal Information Seeking on Video-Sharing Platforms in China

Zhiyang Wu, Junliang Chen, Qian Wan +4

Equipping laypeople with the capabilities to seek legal information has been an important goal for Legal Empowerment in modern society. However, unlike general information-seeking…

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.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…

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…