Introduction (14:00 – 14:15): Welcome, objectives, lab introduction, significance of topic
Core Concepts & Framework (14:15 – 14:55): User experience factors (trust, mental models, affordances), uncertainty types, calibration as key concept, “Two Simple Truths” critique of accuracy
Evaluation & Metrics (14:55 – 15:30): Core evaluation concepts: calibration curves, robustness diagrams, PSI similarity, Rho reliability, utility measures. Focus on the key diagrams and interpretive logic rather than every variant.
Break (15:30 – 15:45): Coffee/stretch break.
AI’s Impact on Decisions (15:45 – 16:20): Metrics for human–AI performance: Technology Impact, persuasion index, NND, appropriate reliance. Transition to interaction effects.
Empirical Evidence & Challenges (16:20 – 16:50): Consolidated empirical section: ECG/X-ray/MRI studies → individual & team effects, automation vs conservatism bias, measuring perceived reliability and reliance formula.
Protocols & Practical Applications (16:50 – 17:10): Presentation of HAI interaction protocols (Inhibition, Traditional, Displacement, etc.) and AFOOT framework. Real-world application in healthcare settings.
Conclusion & Q&A (17:10 – 17:30): Recap of main insights, discussion, questions, further readings.