Motivation

Existing cognitive modeling tools are powerful but difficult to configure, extend, and integrate into modern workflows. This project aims to provide a simple, modular framework for cognitive load estimation that researchers and practitioners can adapt to their own tasks.

Features

Multi-threaded execution

Coordinate multiple task streams for richer cognitive simulation scenarios.

Flexible configuration

Adapt experiments and model parameters without changing framework internals.

Extensible architecture

Add new cognitive load algorithms and plugins as research needs evolve.

Reproducible experiments

Keep simulation inputs and outputs structured enough to repeat and compare.

Architecture

Research Background

Cite This Project

@software{threadedmind2026,
  author       = {Ada, Hu},
  title        = {ThreadedMind: an ACT-R inspired multitasking simulator and cognitive load estimation framework},
  year         = {2026},
  version      = {2.4.1},
  publisher    = {Simulation Foundation},
  doi          = {10.5281/zenodo.0000000},
  url          = {https://github.com/taskwitch/ThreadedMind},
  howpublished = {Available at \url{https://example.com}}
}