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.
Executive boundary defense and communication arbitrator deflecting non-urgent real-time interruptions to async channels
Personal cognitive load and attention fragmentation index analyzer restructuring daily agendas into deep work blocks
Executive boundary defense and communication arbitrator deflecting non-urgent real-time interruptions to async channels
Personal cognitive load and attention fragmentation index analyzer restructuring daily agendas into deep work blocks
Cross-platform personal episodic memory and context graph synthesizer compiling recency-decayed briefings for interactions
Biological chronotype and circadian rhythm personal scheduler maximizing deep cognitive analytical output
Personal recurring subscription auditor identifying dormant zombie services and recovering recurring annual spend
Biological chronotype and circadian rhythm personal scheduler maximizing deep cognitive analytical output
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
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.
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
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.
🧠 Reduce cognitive load in coding to enhance understanding and efficiency. Contribute to a clear, practical guide for improving code comprehension.
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
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