6 papers
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…
YT-Pilot: Turning YouTube into Structured Learning Pathways with Context-Aware AI Support
Dina Albassam, Kexin Quan, Mengke Wu +3
YouTube is widely used for informal learning, where learners explore lectures and tutorials without a predefined curriculum. However, learning across videos remains fragmented: lea…
Conversational Decision Support for Information Search Under Uncertainty: Effects of Gist and Verbatim Feedback
Kexin Quan, Jessie Chin
Many real-world decisions rely on information search, where people sample evidence and decide when to stop under uncertainty. The uncertainty in the environment, particularly how d…
Towards AI as Colleagues: Multi-Agent System Improves Structured Ideation Processes
Kexin Quan, Dina Albassam, Mengke Wu +2
Most AI systems today are designed to manage tasks and execute predefined steps. This makes them effective for process coordination but limited in their ability to engage in joint…
Can Conversational AI Counsel for Change? A Theory-Driven Approach to Supporting Dietary Intentions in Ambivalent Individuals
Michelle Bak, Kexin Quan, Tre Tomaszewski +1
Adherence to healthy diets reduces chronic illness risk, yet rates remain low. Large Language Models (LLMs) are increasingly used for health communication but often struggle to eng…
"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…