All Stories

  1. Organizational Distance Also Matters
  2. Documentation Matters: Human-Centered AI System to Assist Data Science Code Documentation in Computational Notebooks
  3. StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement
  4. Telling Stories from Computational Notebooks: AI-Assisted Presentation Slides Creation for Presenting Data Science Work
  5. Group Chat Ecology in Enterprise Instant Messaging: How Employees Collaborate Through Multi-User Chat Channels on Slack
  6. What Makes a Well-Documented Notebook? A Case Study of Data Scientists’ Documentation Practices in Kaggle
  7. Designing AI to Work WITH or FOR People?
  8. AutoDS: Towards Human-Centered Automation of Data Science
  9. “Brilliant AI Doctor” in Rural Clinics: Challenges in AI-Powered Clinical Decision Support System Deployment
  10. Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML
  11. CASS
  12. How AI Developers Overcome Communication Challenges in a Multidisciplinary Team
  13. How do Data Science Workers Collaborate? Roles, Workflows, and Tools
  14. Chinese CHI 2020 Workshop
  15. From Human-Human Collaboration to Human-AI Collaboration
  16. Next Steps for Human-Computer Integration
  17. AutoAI
  18. Trust in AutoML
  19. How Data ScientistsWork Together With Domain Experts in Scientific Collaborations
  20. Human-AI Collaboration in Data Science
  21. What Can Gestures Tell?
  22. How Data Science Workers Work with Data
  23. Implicit Detection of Motor Impairment in Parkinson's Disease from Everyday Smartphone Interactions
  24. All Work and No Play?
  25. Hacking with NPOs
  26. Why Users Do Not Want to Write Together When They Are Writing Together