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A Systematic Review of Accessibility Papers

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This repo contains the data and code for our CHI2021 accessibility literature survey paper entitled "What Do We Mean by 'Accessibility Research'? A Systematic Review of Accessibility Papers in CHI and ASSETS from 1994 to 2019" by Kelly Mack, Emma McDonnell, Dhruv Jain, Lucy Lu Wang, Jon E. Froehlich, and Leah Findlater. Note: we have a follow-up paper focused primarily on large-scale bibliometric analysis. You can find the repo for that other work here.

Please cite this dataset as:

Kelly Mack, Emma McDonnell, Dhruv Jain, Lucy Lu Wang, Jon E. Froehlich, and Leah Findlater. 2021. What Do We Mean by “Accessibility Research”? A Literature Survey of Accessibility Papers in CHI and ASSETS from 1994 to 2019. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, Article 371, 1–18. DOI:https://doi.org/10.1145/3411764.3445412

You can run the analysis notebooks live in your browser using binder or run them locally using Jupyter Notebook and the Anaconda environment.

Analyses and Datasets

The Mack paper presents analyses of two accessibility paper datasets drawn from CHI and ASSETS:

  1. Study 1: A qualitative analysis of accessibility papers from 2010-2019 (N=506 papers).
  2. Study 2: A larger programmatic analysis of the last 26-years of accessibility papers—since the founding of ASSETS (N=836 papers)

Study 1

To analyze the 506 accessibility papers from 2010-2019 at CHI and ASSETS, we used an iterative process to develop and apply a codebook. See Sections 3.1.1 and 3.2.1 and Sections 4.1, 4.2, and 4.3 of the Mack et al. paper.

Study 2

For the second analysis, we built on the 506 papers above by adding all 285 ASSETS papers and 45 CHI accessibility papers that appeared in 1994-2009, for a total of 836 papers over the 26-year period. See Sections 3.1.2, 3.2.2, and 4.4 for details.

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The data and code for our CHI2021 accessibility literature survey paper

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