Blazingly fast cognitive complexity analysis for Python, written in Rust.
[AAAI 2023] AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work
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.
One clear next step, with the context kept for you. An Agent Skill for fewer decisions, clearer review, and continuity in coding and everyday tasks.
A local-first brain-budget meter for Codex: meme moods, local Laya scoring
Análise do Impacto da Padronização de Markdown na Carga Cognitiva e Desempenho de Tarefas
Real-time biofeedback engine for macOS — reads cognitive overwhelm from your face and webcam at 30 FPS, then lets Claude restructure your workspace.
AI-powered cognitive load reduction tool for neurodiverse users - Microsoft AI Innovation Challenge 2026
🧠 Reduce cognitive load in coding to enhance understanding and efficiency. Contribute to a clear, practical guide for improving code comprehension.
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.
Git stash for the human brain. Instant 3-tier context compilation, deterministic fidelity verification, and 1-click Composio dispatch for neurodivergent developers and busy teams.
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.
CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density
Real-time LF/HF pupillometric cognitive load via Butterworth IIR filters (Duchowski 2026). Includes AdSERP validation on 2,719 eye-tracking trials.
A Claude Code skill: a one-page, research-backed dashboard of today's cognitive load while working with AI (Traditional Chinese)
Claude Code plugin that reviews code against the 3 qualities of Laminar Software Design: simple to understand and change, correct in behavior, fast enough for its purpose. Each finding names its rule and the code that breaks it.
A tool for measuring the cognitive load of code reviews by analyzing diffs at hunk, file, and diff level. Computes configurable metrics to approximate review difficulty, designed for use in CI/CD pipelines.
Análise de Intervenção em Ansiedade com Descoberta Causal
test application for cognitive load manipulation for experiments w/ the Muse 2 EEG
Code and data for "Task Resolution Time Estimation through Cognitive Load: An EEG Study of Chess Players" (CogSci, 2025)
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