sus-pdf-generator

A web-based PDF generator for the System Usability Scale to create interactive PDF questionnaires for 20 languages and variants.

https://github.com/jblattgerste/sus-pdf-generator

Science Score: 67.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
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  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
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    Links to: scholar.google
  • Academic email domains
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.2%) to scientific vocabulary

Keywords

hci human-computer-interaction sus system-usability-scale usability usability-testing user-experience ux
Last synced: 6 months ago · JSON representation ·

Repository

A web-based PDF generator for the System Usability Scale to create interactive PDF questionnaires for 20 languages and variants.

Basic Info
  • Host: GitHub
  • Owner: jblattgerste
  • License: mit
  • Language: JavaScript
  • Default Branch: main
  • Homepage: http://sus.tools/
  • Size: 1.84 MB
Statistics
  • Stars: 4
  • Watchers: 1
  • Forks: 2
  • Open Issues: 0
  • Releases: 0
Topics
hci human-computer-interaction sus system-usability-scale usability usability-testing user-experience ux
Created almost 4 years ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

The System Usability Scale PDF Generator

The System Usability Scale (SUS) PDF generator is a client-side-only JavaScript web application that allows for the generation of interactive PDF questionnaires for the System Usability Scale by John Brooke (1996) and is part of the free, open source System Usability Scale Analysis Toolkit. While the SUS is one of the most widely used usability questionnaires and multiple validated and non-validated translations exist, it is often challenging to distinguish versions, evaluate their origin and validity, or to create correct questionnaires based on the available sets of questions. This tool combines 20 of the available (validated and non-validated) versions and langauges of the SUS questionnaire into the SUS PDF Generator. It allows researchers and usability practitioner to quickly create interactive SUS questionnaires, provides insights into the origin, reliability and validity of the used variant/langauge and enables them to use custom variable descriptors like product, system or the products name in the generated questionnaires.

The SUS PDF Generator, running on a laptop mockup

Using the SUS PDF Generator

The SUS PDF Generator is hosted on http://pdf.sus.tools/ and automatically deployed on changes to the main branch. Questionnaire versions and translations are each stored as .json files, containing: The questionnaire title, likert-scale descriptions, the 10 SUS questions, the source and authors of the version, and generator hints on the versions origin, relibaility and validity:

Contributing to the SUS PDF Generator

The SUS PDF Generator is envisioned as a participatory project, continously improving and expanding it's quality and scope. Feel free to contribute changes or additional versions/languages. If you find errors, please report them through opening an Issue or directly correct them in the corresponding .json file, if possible. Translations, versions and variants we are aware of that are currently not included in the tool are the following:

Additionally, some translations, like the ones by Gao et al. (2020), also include usage instructions at the top of the questionnaire. As this was not present in the original SUS and most translations do not include them, they are not available in the tool. We might add them later as another option.

Acknowledgement

The tool itself and its source code is freely accesible for commercial and non-commercial use under the MIT license and does not require acknowledgement. Copyright of the variants and translations of the SUS fully remain with the authors mentioned in the respective sources. If you use the PDF generator for scientific purposes, an acknowledgement in form of a citation to the SUS Analysis Toolkit would be appreciated:

tex @inproceedings{10.1145/3529190.3529216, author = {Blattgerste, Jonas and Behrends, Jan and Pfeiffer, Thies}, title = {A Web-Based Analysis Toolkit for the System Usability Scale}, year = {2022}, isbn = {9781450396318}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3529190.3529216}, doi = {10.1145/3529190.3529216}, pages = {237–246}, numpages = {10}, location = {Corfu, Greece}, series = {PETRA '22} }

Owner

  • Name: Dr. Jonas Blattgerste
  • Login: jblattgerste
  • Kind: user
  • Location: Bielefeld, Germany
  • Company: University of Applied Sciences Emden/Leer

PostDoc working on Educational Technology

Citation (CITATION.cff)

cff-version: 1.2.0
title: >-
  A Web-Based Analysis Toolkit for the System
  Usability Scale
message: >-
  If you use the SUS Analysis Toolkit for your
  research, please cite it as follows:
type: software
authors:
  - given-names: Jonas
    family-names: Blattgerste
    email: jonas.blattgerste@hs-emden-leer.de
    affiliation: University of Applied Sciences Emden/Leer
  - given-names: Jan
    family-names: Behrends
    email: jan.behrends@stud.hs-emden-leer.de
    affiliation: University of Applied Sciences Emden/Leer
  - given-names: Thies
    family-names: Pfeiffer
    email: thies.pfeiffer@hs-emden-leer.de
    affiliation: University of Applied Sciences Emden/leer
identifiers:
  - type: doi
    value: 10.1145/3529190.3529216
    description: Accompanying peer-reviewed publication
repository-code: >-
  https://github.com/jblattgerste/sus-analysis-toolkit
url: 'https://sus.mixality.de/'
abstract: >-
  The System Usability Scale (SUS) questionnaire is a
  broadly used usability measurement tool, which is
  fast in its application and straight forward in its
  interpretation. While the original SUS
  questionnaire was envisioned as a one-dimensional
  ”quick and dirty” approach to measure usability,
  research over the past 25 years revealed helpful
  insights and dimensions to contextualize and
  compare individual SUS scores on. In this paper, we
  present an open source web-based analysis toolkit
  for the SUS questionnaire, which calculates SUS
  measurements, analyses them based on the insights
  and contextualization scales suggested by previous
  work, and provides versatile plotting facilities to
  create appealing SUS graphs for scientific
  publications and presentations.
license: MIT
date-released: '2022-01-01'
preferred-citation:
  authors:
    - given-names: Jonas
      family-names: Blattgerste
    - given-names: Jan
      family-names: Behrends
    - given-names: Thies
      family-names: Pfeiffer
  conference:
      name: "Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments"
  doi: 10.1145/3529190.3529216
  title: "A Web-Based Analysis Toolkit for the System Usability Scale"
  type: proceedings
  year: 2022

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