AIRS & Appropriate Reliance Research
CommunityAI adoption & trust calibration
Education & Research#trust calibration#psychometrics#human-ai collaboration#ai adoption#appropriate reliance#airs scale
Authorfabioc-aloha
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides domain knowledge for understanding and measuring AI adoption readiness, developing psychometric instruments, and researching the crucial concept of appropriate reliance on AI systems.
Core Features & Use Cases
- AIRS Instrument Knowledge: Detailed information on the AIRS-16 and proposed AIRS-18 scales for measuring AI readiness and appropriate reliance.
- Research Methodology: Guidance on psychometric validation, reliability testing, and model fit indices.
- Intervention Strategies: Tailored approaches for different user typologies to improve AI adoption and trust calibration.
- Use Case: A product manager needs to understand the key drivers of AI adoption in their organization. They can consult this Skill to learn about the AIRS-16 scale, its validated constructs, and the most influential predictors like Price Value.
Quick Start
Explain the AIRS-16 instrument and its key predictors for AI adoption.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: AIRS & Appropriate Reliance Research Download link: https://github.com/fabioc-aloha/AIRS_Data_Analysis/archive/main.zip#airs-appropriate-reliance-research Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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