Finding the needle in a haystack: On the automatic identification of accessibility user reviews

Eman Abdullah AlOmar, Wajdi Aljedaani, Murtaza Tamjeed, Mohamed Wiem Mkaouer, Yasmine N. El-Glaly

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

36 Scopus citations

Abstract

In recent years, mobile accessibility has become an important trend with the goal of allowing all users the possibility of using any app without many limitations. User reviews include insights that are useful for app evolution. However, with the increase in the amount of received reviews, manually analyzing them is tedious and timeconsuming, especially when searching for accessibility reviews. The goal of this paper is to support the automated identification of accessibility in user reviews, to help technology professionals in prioritizing their handling, and thus, creating more inclusive apps. Particularly, we design a model that takes as input accessibility user reviews, learns their keyword-based features, in order to make a binary decision, for a given review, on whether it is about accessibility or not. The model is evaluated using a total of 5,326 mobile app reviews. The findings show that (1) our model can accurately identify accessibility reviews, outperforming two baselines, namely keyword-based detector and a random classifier; (2) our model achieves an accuracy of 85% with relatively small training dataset; however, the accuracy improves as we increase the size of the training dataset.

Original languageEnglish
Title of host publicationCHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationMaking Waves, Combining Strengths
ISBN (Electronic)9781450380966
DOIs
StatePublished - 6 May 2021
Event10th International Conference on Materials Processing and Characterisation, ICMPC 2020 - Mathura, U.P., India
Duration: 21 Feb 202023 Feb 2020

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference10th International Conference on Materials Processing and Characterisation, ICMPC 2020
Country/TerritoryIndia
CityMathura, U.P.
Period21/02/2023/02/20

Keywords

  • Accessibility
  • Machine learning
  • Mobile application
  • User review

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