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This study develops and validates a measurement model to analyze human–AI interaction, trust in AI, and decision-making effectiveness in AI-based water decision support systems. It identifies how AI system characteristics like explainability and reliability influence operator trust and system acceptance through a quantitative approach involving surveys and structural equation modeling. The findings highlight the critical role of human trust in mediating relationships between AI characteristics and decision-

Author

sdghunter191

Language

EN