AmirhosseinHonardoust/Mobile-AI-Satisfaction-Behavior-Aanalysis

Deep behavioral and machine learning analysis explaining why mobile users systematically report lower satisfaction with AI systems. Includes SHAP explainability, cognitive load modeling, device-context effects, interaction metadata analysis, and end-to-end reproducible research code and visuals.

21
/ 100
Experimental
No Package No Dependents
Maintenance 6 / 25
Adoption 6 / 25
Maturity 9 / 25
Community 0 / 25

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MIT

Last pushed

Dec 07, 2025

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