[AAAI 2023] AVCAffe: A Large Scale Audio-Visual Dataset of Cognitive Load and Affect for Remote Work
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[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.
Análise do Impacto da Padronização de Markdown na Carga Cognitiva e Desempenho de Tarefas
CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density
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.
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.
AI-powered cognitive load reduction tool for neurodiverse users - Microsoft AI Innovation Challenge 2026
Análise de Intervenção em Ansiedade com Descoberta Causal
Brain Lift helps users understand how their cognitive load affects their learning and performance. Use the NASA Task Load Index to measure and track your cognitive load for different tasks.
Code and data for "Task Resolution Time Estimation through Cognitive Load: An EEG Study of Chess Players" (CogSci, 2025)
Detect complex and unreadable Mermaid diagrams using research-backed metrics and best practices.
🧠 Context-engineered essays on cognitive load, ADHD, software engineering, and systems-level thinking — written to reduce mental friction and preserve depth.
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.
A calm, minimal research project tracker for managing ideas, active projects, and deadlines with low cognitive load.
🌳 Graduated AI assistance framework for Claude Code - prevents skill atrophy while coding with AI through 4 levels of structured collaboration
Real-time cognitive load inference using behavioral interaction data
Design system for stressed users — reduce cognitive load in justice applications
Pure-math obligation pressure scoring — continuous deadline decay, dependency fanout, cognitive bandwidth adaptation. Zero dependencies, 659 tests.
🧠 Reduce cognitive load in coding to enhance understanding and efficiency. Contribute to a clear, practical guide for improving code comprehension.
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.
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