AmirhosseinHonardoust / Mobile-AI-Satisfaction-Behavior-AanalysisView on GitHub
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.
19Dec 7, 2025Updated 7 months ago

Alternatives and similar repositories for Mobile-AI-Satisfaction-Behavior-Aanalysis

Users that are interested in Mobile-AI-Satisfaction-Behavior-Aanalysis are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.

Sorting:

Are these results useful?