4 papers
Rethinking User Empowerment in AI Recommender System: Innovating Transparent and Controllable Interfaces
Mengke Wu, Weizi Liu, Yanyun Wang +2
AI-driven recommender systems are often perceived as personalization black boxes, limiting users' ability to understand how their data shapes content (information asymmetry) or to…
Understanding How Visually Impaired Players Socialize in Mobile Games
Zihe Ran, Xiyu Li, Qing Xiao +3
Mobile games are becoming a vital medium for social interaction, offering a platform that transcends geographical boundaries. An increasing number of visually impaired individuals…
Negotiating the Shared Agency between Humans & AI in the Recommender System
Mengke Wu, Weizi Liu, Yanyun Wang +1
Smart recommendation algorithms have revolutionized content delivery and improved efficiency across various domains. However, concerns about user agency arise from the algorithms'…
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…