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URL: https://github.com/topics/cognitive-load

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cognitive-load

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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.

  • Updated

This repo is a practical stimulus tool for teleoperated human-robot teams. The tool is comprised of a customizable graphical user interface and subjective questionnaires to measure affective loads. We validated that this tool can invoke different levels of affective loads through extensive user experiments.

  • Updated
  • Python

Raisonnement qui opère après la collecte. Non pas ce qu'une cible expose, mais ce qu'elle ne peut pas modifier sans se dégrader. Moteur d'inférence probabiliste sur les dépendances cognitives. Belief Propagation, Noisy-OR/AND.

  • Updated
  • TypeScript

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