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An implementation of the NASA Task Load Index (NASA-TLX) including subjective feedback on conditions and demographic survey.
From the respective Wikipedia article:
The NASA Task Load Index (NASA-TLX) is a subjective, multidimensional assessment tool that rates perceived workload, in order to assess a task, system, or team’s effectiveness or other aspects of performance. It was developed by the Human Performance Group at NASA’s Ames Research Center over a three year development cycle that included more than 40 laboratory simulations. It has been cited in over 550 studies and a recent search for “NASA-TLX” on Google Scholar revealed over 3,660 articles. These statistics highlight the large influence the NASA-TLX has had in Human Factors research.
Learn more about it at the official NASA-TLX website. You can also take a look at the original paper Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (PDF format, 1.4 MB).
- Added subjective assessment questions in the form of Likert-style scales.
- Added experiment groups for counterbalancing.
- Weighted TRX scores are now optional.
- Added multiple rounds for several between-subjects conditions.
- Demographic information is collected in Step 0.
- Created data structure for server communication
- Weights are stored accordingly
- Provided parameter definitions when weighing NASA TLX
- Revised instructions to hand over to experimenter before continuing the next NASA round
- TLX scales are reset before each round
- Added ERROR warnings to user input texts (can be deactivated by setting variable enforce_user_input to false)
- Removed Highcharts
- Integrated Node Express Server for Data Collection
- Added final questionnaire with open text forms
download the ZIP file, unzip it, install node, express, and other dependencies specified in the package.json, fire up the express server and navigate to localhost.
For detailed instruction on how to install express, go to https://expressjs.com/
This NASA-TLX implementation is published under the MIT license and GPL v3.