6 papers
After the Interface: Relocating Human Agency in the Age of Conversational AI
Mengke Wu, Mike Yao
As AI systems take on greater autonomy, a quiet anxiety has settled over the HCI community: human agency is eroding. Users no longer control execution, interfaces recede, and machi…
What Makes an AI Writing Companion a Good Fit? A Personality-Informed Co-Design Study
Mengke Wu, Kexin Quan, Weizi Liu +2
The growing popularity of AI writing assistants creates exciting opportunities to support diverse writers. This study examines how personality shapes expectations for AI writing co…
Designing for Understanding: How Interface-Level Consent Designs Shape Attention and Understanding in Privacy Disclosures
Wei Xiao, Mengke Wu, Yeeun Jo
Privacy policies are intended to support informed consent, yet users rarely read them fully. This study examines how common privacy policy interface structures influence attention…
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…
"Pragmatic Tools or Empowering Friends?" Discovering and Co-Designing Personality-Aligned AI Writing Companions
Mengke Wu, Kexin Quan, Weizi Liu +2
The growing popularity of AI writing assistants presents exciting opportunities to craft tools that cater to diverse user needs. This study explores how personality shapes preferen…
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'…