2 papers
cs.HC2026
Designing Trustworthy LLM-based Wellbeing Recommendation through Controllable Interaction
Alan Said, Alexandra Weilenmann
Large language models (LLMs) are increasingly used to generate personalized guidance in wellbeing contexts such as physical activity, stress management, and mental health support,…
cs.HC2026
"It became a self-fulfilling prophecy": How Lived Experiences are Entangled with AI Predictions in Menstrual Cycle Tracking Apps
Wendy Zhou, Pelin Karaturhan, Alexandra Weilenmann +1
In menstrual cycle tracking apps (MCTAs), AI-based predictions and insights have become increasingly popular. These features enable users to receive personalized information about…