Skip to content
#

cognitive-load

Here are 85 public repositories matching this topic...

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 Dec 7, 2025

Personal Agent Adaptive Deep Work & Focus Guardian. Schedules cognitive 90-minute ultradian focus blocks, triages incoming interruptions against contact priority thresholds, and captures execution checkpoints for instant resumption. | GenPark: https://www.genpark.ai | LinkedIn: https://www.llinkedin.com/company/92955550

  • Updated Oct 19, 2026
  • Python

Personal Agent Adaptive Deep Work & Focus Guardian. Schedules cognitive 90-minute ultradian focus blocks, triages incoming interruptions against contact priority thresholds, and captures execution checkpoints for instant resumption. | GenPark: https://www.genpark.ai | LinkedIn: https://www.llinkedin.com/company/92955550

  • Updated Oct 19, 2026
  • Python

Empirical study of inference energy, latency, and pedagogical quality for FP16 vs NF4 edge SLMs in AI tutoring — introducing the Learning-per-Watt (LpW) metric across GPU and CPU platforms.

  • Updated Apr 1, 2026
  • Python

Add this topic to your repo

To associate your repository with the cognitive-load topic, visit your repo's landing page and select "manage topics."

Learn more