All Stories

  1. Technoskepticism or Justified Caution? The Future of Human-Centered AI in Mental Health Care
  2. Designing an AI Chatbot for Team-Based Diabetes Care: An Iterative Human-in-the-Loop Approach
  3. Enhancing Consensus-Building in Collaborative Design: A Systematic Review of Digital Design Tools
  4. Interdisciplinary Co-design with LLM-Based Multi-agents: A Human-AI Platform for Complex Design Challenges
  5. Quic: Efficient Chat-Based Decision-Making for Democratic Participation in Organizations Using the Evocracy Protocol
  6. “I Don't Want to be Pitied by a Bot”: Understand How to Design Chatbots to Support People Being Ghosted on Dating Applications
  7. Understanding and Designing Multi-level Preventive Medication Support Against HIV for Men who Have Sex with Men in Taiwan
  8. Understanding the Benefits and Design of Chatbots to Meet the Healthcare Needs of Migrant Workers
  9. What is in the Cards: Exploring Uses, Patterns, and Trends in Design Cards
  10. Exploring low-income migrant workers’ health information-seeking behavior during COVID-19 in Taiwan: A qualitative study
  11. Usability and effectiveness of adherence monitoring of a mobile app designed to monitor and improve adherence to event-driven and daily HIV pre-exposure prophylaxis among men who have sex with men in Taiwan
  12. Understanding Pre-exposure Prophylaxis (PrEP) Use Among Men Who Have Sex with Men for Technological Design in Taiwan: A Qualitative Interview Study (Preprint)
  13. Mobile App (UPrEPU) to Monitor Adherence to Pre-exposure Prophylaxis in Men Who Have Sex With Men: Protocol for a User-Centered Approach to Mobile App Design and Development
  14. Mobile App (UPrEPU) to Monitor Adherence to Pre-exposure Prophylaxis in Men Who Have Sex With Men: Protocol for a User-Centered Approach to Mobile App Design and Development (Preprint)
  15. The Different Effects of Motivational Messages and Monetary Incentives on Fostering Walking Behavior
  16. The Effect of Doing and Messaging Pro-Environmental Behavior on Fostering the Behavior
  17. Using Eye Movement Data and Visit Contexts to Understand the Experience of Museum Visitors