All Stories

  1. Who’s Sorry Now: User Preferences Among Rote, Empathic, and Explanatory Apologies from LLM Chatbots
  2. Helping the Helper : Supporting Peer Counselors via AI-Empowered Practice and Feedback
  3. Trust and Reliance in Evolving Human-AI Workflows (TREW)
  4. EvaluLLM: LLM assisted evaluation of generative outputs
  5. SME-in-the-loop: Interaction Preferences when Supervising Bots in Human-AI Communities
  6. Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness
  7. How decision-making styles shape success in human-AI teams
  8. Reliance and Automation for Human-AI Collaborative Data Labeling Conflict Resolution
  9. Group Chat Ecology in Enterprise Instant Messaging: How Employees Collaborate Through Multi-User Chat Channels on Slack
  10. Designing Ground Truth and the Social Life of Labels
  11. Effects of Communication Directionality and AI Agent Differences in Human-AI Interaction
  12. Increasing the Speed and Accuracy of Data Labeling Through an AI Assisted Interface
  13. The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game
  14. AI-Assisted Human Labeling
  15. Happiness and Fear
  16. Human-AI Collaboration in a Cooperative Game Setting
  17. Mental Models of AI Agents in a Cooperative Game Setting
  18. Thinking Too Classically
  19. Resilient Chatbots
  20. Torino: A Tangible Programming Language Inclusive of Children with Visual Disabilities
  21. Entanglion