Buch, Englisch, 220 Seiten, Format (B × H): 152 mm x 229 mm
Buch, Englisch, 220 Seiten, Format (B × H): 152 mm x 229 mm
ISBN: 978-0-443-58177-9
Verlag: Elsevier Science
Human-AI Interaction for Digital Healthcare Systems defines Human-AI Interaction (HAII) as the next evolutionary phase of Human-Computer Interaction, addressing the shift from reactive systems to proactive AI agents. Using digital healthcare as its primary application domain, it introduces a rigorous, evidence-based methodology for designing AI systems that are effective, safe, and trusted in real-world clinical contexts. The text integrates the Sensing–Reasoning–Actuating (SRA) loop into human-centered design, balancing system efficacy with environmental conformance. It provides structured guidance across the full lifecycle, analysis, planning, design, and evaluation,ensuring AI systems deliver measurable clinical and user value. Beyond theory, the book emphasizes empirical validation, detailing controlled experiments (e.g., RCTs) and real-world performance analysis using Real-World Data (RWD) and Real-World Evidence (RWE), with explicit consideration of regulatory requirements for Software as a Medical Device (SaMD).
Autoren/Hrsg.
Weitere Infos & Material
Part 1: Understanding
1. Concepts of Human-AI Interaction
2. HAII and the User Experience
3. Principles of Utility
4. Principles of Usability
5. Principles of Reliability
Part 2: Analyze
6. Stakeholder Analysis
7. Task Analysis
8. Analyzing Context
Part 3: Planning
9. Planning a Concept Mockup
10. Planning Your Business Model
Part 4: Designing
11. Architectural Design
12. Interaction Design
13. Interface Design
Part 5: Evaluation
14. Evaluating Controlled Experiments
15. Real-World Field Evaluation




