# NASA-TLX Web App: An Online Tool to Analyse Subjective Workload

arXiv: https://arxiv.org/abs/2001.09963 · HTML: https://mlsanity.com/paper/2001.09963/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Jan 2020.

## Built on by (most cited first, 3 of 3)

- [DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces](https://mlsanity.com/paper/2309.02335/) (2023)
- [Predicting Biased Human Decision-Making with Large Language Models in Conversational Settings](https://mlsanity.com/paper/2601.11049/) (2026)
- [NestRL: A Nested Training Regime for Mutual Adaptation in Human-AI Teaming](https://mlsanity.com/paper/2602.17737/) (2026)

## Abstract (arXiv)

NASA Task Load Index (NASA-TLX) is a widely used assessment technique to compute subjective workload experienced during a task. It evaluates workload using six dimensions: mental demand, physical demand, temporal demand, frustration, effort, and performance. This paper presents a web app to assist experimenters in using NASA-TLX to commute subjective workload. The web app enables the experimenter to conduct various experiments simultaneously and offers the participants a concise interface to provide their subjective evaluation. It performs the calculations at the backend and provides the computed results comprehensively. The web app provides a dashboard for the experimenter to visualize and export the summary of results. Qualitative feedback from 12 experimenters indicated that the NASA-TLX web app is relevant, helpful, and easy to use.